----------------------------------------------- Fitting imputed dataset number 1 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000464 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.64 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000398 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.98 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.0004 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 4 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000362 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.62 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 3.451 seconds (Warm-up) Chain 4: 1.356 seconds (Sampling) Chain 4: 4.807 seconds (Total) Chain 4: Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 3.583 seconds (Warm-up) Chain 2: 1.465 seconds (Sampling) Chain 2: 5.048 seconds (Total) Chain 2: Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 3.776 seconds (Warm-up) Chain 1: 1.512 seconds (Sampling) Chain 1: 5.288 seconds (Total) Chain 1: Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 3.793 seconds (Warm-up) Chain 3: 1.541 seconds (Sampling) Chain 3: 5.334 seconds (Total) Chain 3: ----------------------------------------------- Fitting imputed dataset number 2 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000459 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.59 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000395 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.95 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000399 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 3.99 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000353 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.53 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 3.423 seconds (Warm-up) Chain 1: 1.485 seconds (Sampling) Chain 1: 4.908 seconds (Total) Chain 1: Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 3.535 seconds (Warm-up) Chain 2: 1.61 seconds (Sampling) Chain 2: 5.145 seconds (Total) Chain 2: Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 3.81 seconds (Warm-up) Chain 4: 1.413 seconds (Sampling) Chain 4: 5.223 seconds (Total) Chain 4: Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 3.881 seconds (Warm-up) Chain 3: 1.527 seconds (Sampling) Chain 3: 5.408 seconds (Total) Chain 3: ----------------------------------------------- Fitting imputed dataset number 3 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000461 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.61 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000404 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 4.04 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000376 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 3.76 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000361 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.61 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 3.773 seconds (Warm-up) Chain 1: 1.681 seconds (Sampling) Chain 1: 5.454 seconds (Total) Chain 1: Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 3.872 seconds (Warm-up) Chain 2: 1.553 seconds (Sampling) Chain 2: 5.425 seconds (Total) Chain 2: Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 3.851 seconds (Warm-up) Chain 4: 1.512 seconds (Sampling) Chain 4: 5.363 seconds (Total) Chain 4: Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 3.841 seconds (Warm-up) Chain 3: 1.623 seconds (Sampling) Chain 3: 5.464 seconds (Total) Chain 3: ----------------------------------------------- Fitting imputed dataset number 4 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000462 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.62 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000412 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 4.12 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000402 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 4.02 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000353 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.53 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 3.613 seconds (Warm-up) Chain 1: 1.446 seconds (Sampling) Chain 1: 5.059 seconds (Total) Chain 1: Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 3.126 seconds (Warm-up) Chain 4: 1.82 seconds (Sampling) Chain 4: 4.946 seconds (Total) Chain 4: Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 3.421 seconds (Warm-up) Chain 3: 1.62 seconds (Sampling) Chain 3: 5.041 seconds (Total) Chain 3: Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 3.761 seconds (Warm-up) Chain 2: 1.483 seconds (Sampling) Chain 2: 5.244 seconds (Total) Chain 2: ----------------------------------------------- Fitting imputed dataset number 5 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000478 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.78 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000403 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 4.03 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000386 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 3.86 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000353 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.53 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 3.289 seconds (Warm-up) Chain 1: 1.457 seconds (Sampling) Chain 1: 4.746 seconds (Total) Chain 1: Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 3.204 seconds (Warm-up) Chain 3: 1.669 seconds (Sampling) Chain 3: 4.873 seconds (Total) Chain 3: Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 3.324 seconds (Warm-up) Chain 2: 1.606 seconds (Sampling) Chain 2: 4.93 seconds (Total) Chain 2: Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 3.669 seconds (Warm-up) Chain 4: 1.602 seconds (Sampling) Chain 4: 5.271 seconds (Total) Chain 4: ----------------------------------------------- Fitting imputed dataset number 1 of 5 Running MCMC with 4 chains, at most 11 in parallel... Chain 1 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1 Iteration: 2000 / 2000 [100%] (Sampling) Chain 2 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2 Iteration: 2000 / 2000 [100%] (Sampling) Chain 3 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1 finished in 2.0 seconds. Chain 2 finished in 2.0 seconds. Chain 3 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3 finished in 2.0 seconds. Chain 4 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 finished in 2.2 seconds. All 4 chains finished successfully. Mean chain execution time: 2.1 seconds. Total execution time: 2.6 seconds. ----------------------------------------------- Fitting imputed dataset number 2 of 5 Running MCMC with 4 chains, at most 11 in parallel... Chain 1 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1 Iteration: 2000 / 2000 [100%] (Sampling) Chain 2 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1 finished in 2.1 seconds. Chain 2 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4 Iteration: 2000 / 2000 [100%] (Sampling) Chain 3 finished in 2.1 seconds. Chain 4 finished in 2.0 seconds. Chain 2 Iteration: 2000 / 2000 [100%] (Sampling) Chain 2 finished in 2.3 seconds. All 4 chains finished successfully. Mean chain execution time: 2.1 seconds. Total execution time: 2.5 seconds. ----------------------------------------------- Fitting imputed dataset number 3 of 5 Running MCMC with 4 chains, at most 11 in parallel... Chain 1 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1 Iteration: 2000 / 2000 [100%] (Sampling) Chain 2 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2 Iteration: 2000 / 2000 [100%] (Sampling) Chain 3 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1 finished in 2.0 seconds. Chain 2 finished in 2.0 seconds. Chain 3 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4 Iteration: 2000 / 2000 [100%] (Sampling) Chain 3 finished in 2.0 seconds. Chain 4 finished in 2.0 seconds. All 4 chains finished successfully. Mean chain execution time: 2.0 seconds. Total execution time: 2.3 seconds. ----------------------------------------------- Fitting imputed dataset number 4 of 5 Running MCMC with 4 chains, at most 11 in parallel... Chain 1 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2 Iteration: 2000 / 2000 [100%] (Sampling) Chain 3 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2 finished in 2.0 seconds. Chain 1 Iteration: 2000 / 2000 [100%] (Sampling) Chain 3 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1 finished in 2.2 seconds. Chain 3 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 finished in 2.2 seconds. Chain 4 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 finished in 2.2 seconds. All 4 chains finished successfully. Mean chain execution time: 2.1 seconds. Total execution time: 2.5 seconds. ----------------------------------------------- Fitting imputed dataset number 5 of 5 Running MCMC with 4 chains, at most 11 in parallel... Chain 1 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4 Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4 Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4 Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4 Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4 Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4 Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4 Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4 Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4 Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4 Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2 Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4 Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4 Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4 Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4 Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4 Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4 Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4 Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4 Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4 Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4 Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4 Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2 Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4 Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4 Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4 Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1 Iteration: 2000 / 2000 [100%] (Sampling) Chain 2 Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4 Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1 finished in 2.1 seconds. Chain 2 Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4 Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4 Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4 Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3 finished in 2.2 seconds. Chain 2 Iteration: 2000 / 2000 [100%] (Sampling) Chain 4 Iteration: 2000 / 2000 [100%] (Sampling) Chain 2 finished in 2.3 seconds. Chain 4 finished in 2.1 seconds. All 4 chains finished successfully. Mean chain execution time: 2.2 seconds. Total execution time: 2.5 seconds. ----------------------------------------------- Fitting imputed dataset number 1 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000135 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.35 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000162 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.62 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000137 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.37 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000129 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.29 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.457 seconds (Warm-up) Chain 1: 0.588 seconds (Sampling) Chain 1: 2.045 seconds (Total) Chain 1: Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 1.394 seconds (Warm-up) Chain 4: 0.641 seconds (Sampling) Chain 4: 2.035 seconds (Total) Chain 4: Chain 2: Chain 2: Elapsed Time: 1.409 seconds (Warm-up) Chain 2: 0.645 seconds (Sampling) Chain 2: 2.054 seconds (Total) Chain 2: Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 1.474 seconds (Warm-up) Chain 3: 0.577 seconds (Sampling) Chain 3: 2.051 seconds (Total) Chain 3: ----------------------------------------------- Fitting imputed dataset number 2 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00014 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.4 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000142 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.42 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000138 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.38 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000136 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.36 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.422 seconds (Warm-up) Chain 2: 0.588 seconds (Sampling) Chain 2: 2.01 seconds (Total) Chain 2: Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 1.484 seconds (Warm-up) Chain 4: 0.605 seconds (Sampling) Chain 4: 2.089 seconds (Total) Chain 4: Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.517 seconds (Warm-up) Chain 1: 0.607 seconds (Sampling) Chain 1: 2.124 seconds (Total) Chain 1: Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 1.566 seconds (Warm-up) Chain 3: 0.631 seconds (Sampling) Chain 3: 2.197 seconds (Total) Chain 3: ----------------------------------------------- Fitting imputed dataset number 3 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000168 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.68 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.00014 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.4 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000138 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.38 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000134 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.34 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.292 seconds (Warm-up) Chain 1: 0.612 seconds (Sampling) Chain 1: 1.904 seconds (Total) Chain 1: Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 1.419 seconds (Warm-up) Chain 3: 0.613 seconds (Sampling) Chain 3: 2.032 seconds (Total) Chain 3: Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 1.474 seconds (Warm-up) Chain 4: 0.584 seconds (Sampling) Chain 4: 2.058 seconds (Total) Chain 4: Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.482 seconds (Warm-up) Chain 2: 0.602 seconds (Sampling) Chain 2: 2.084 seconds (Total) Chain 2: ----------------------------------------------- Fitting imputed dataset number 4 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000146 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.46 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000138 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.38 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000136 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.36 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.000132 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.32 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 1.395 seconds (Warm-up) Chain 4: 0.596 seconds (Sampling) Chain 4: 1.991 seconds (Total) Chain 4: Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 1.454 seconds (Warm-up) Chain 3: 0.647 seconds (Sampling) Chain 3: 2.101 seconds (Total) Chain 3: Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.485 seconds (Warm-up) Chain 2: 0.644 seconds (Sampling) Chain 2: 2.129 seconds (Total) Chain 2: Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.52 seconds (Warm-up) Chain 1: 0.622 seconds (Sampling) Chain 1: 2.142 seconds (Total) Chain 1: ----------------------------------------------- Fitting imputed dataset number 5 of 5 SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000155 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.55 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 0.000135 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.35 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 3). Chain 3: Chain 3: Gradient evaluation took 0.000138 seconds Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.38 seconds. Chain 3: Adjust your expectations accordingly! Chain 3: Chain 3: Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup) SAMPLING FOR MODEL 'lrmconppo' NOW (CHAIN 4). Chain 4: Chain 4: Gradient evaluation took 0.00013 seconds Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.3 seconds. Chain 4: Adjust your expectations accordingly! Chain 4: Chain 4: Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup) Chain 3: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 2: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 1: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 4: Iteration: 50 / 2000 [ 2%] (Warmup) Chain 3: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 3: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 2: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 2: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 1: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 3: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 1: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 2: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 3: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 2: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 3: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 4: Iteration: 100 / 2000 [ 5%] (Warmup) Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 2: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 2: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 4: Iteration: 150 / 2000 [ 7%] (Warmup) Chain 3: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 2: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 3: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup) Chain 1: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 2: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 3: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 250 / 2000 [ 12%] (Warmup) Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 2: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 3: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 4: Iteration: 300 / 2000 [ 15%] (Warmup) Chain 1: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 3: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 1: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 2: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 4: Iteration: 350 / 2000 [ 17%] (Warmup) Chain 3: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 1: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 2: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup) Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 2: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 4: Iteration: 450 / 2000 [ 22%] (Warmup) Chain 1: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 4: Iteration: 500 / 2000 [ 25%] (Warmup) Chain 1: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 3: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 3: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 4: Iteration: 550 / 2000 [ 27%] (Warmup) Chain 1: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 2: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 3: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 2: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 4: Iteration: 600 / 2000 [ 30%] (Warmup) Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 650 / 2000 [ 32%] (Warmup) Chain 2: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 2: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 1: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 4: Iteration: 700 / 2000 [ 35%] (Warmup) Chain 3: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 1: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 750 / 2000 [ 37%] (Warmup) Chain 3: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 1: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 2: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 4: Iteration: 800 / 2000 [ 40%] (Warmup) Chain 3: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 850 / 2000 [ 42%] (Warmup) Chain 2: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 1: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 4: Iteration: 900 / 2000 [ 45%] (Warmup) Chain 2: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 4: Iteration: 950 / 2000 [ 47%] (Warmup) Chain 1: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 3: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 2: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 1: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1000 / 2000 [ 50%] (Warmup) Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling) Chain 3: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1050 / 2000 [ 52%] (Sampling) Chain 3: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 2: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 4: Iteration: 1100 / 2000 [ 55%] (Sampling) Chain 3: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 2: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 4: Iteration: 1150 / 2000 [ 57%] (Sampling) Chain 3: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 1: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling) Chain 3: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 4: Iteration: 1250 / 2000 [ 62%] (Sampling) Chain 3: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 4: Iteration: 1300 / 2000 [ 65%] (Sampling) Chain 1: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 4: Iteration: 1350 / 2000 [ 67%] (Sampling) Chain 1: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 4: Iteration: 1400 / 2000 [ 70%] (Sampling) Chain 2: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1450 / 2000 [ 72%] (Sampling) Chain 1: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 2: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 3: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1500 / 2000 [ 75%] (Sampling) Chain 1: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 2: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 3: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 1: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1550 / 2000 [ 77%] (Sampling) Chain 2: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 3: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 1: Iteration: 2000 / 2000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.36 seconds (Warm-up) Chain 1: 0.565 seconds (Sampling) Chain 1: 1.925 seconds (Total) Chain 1: Chain 4: Iteration: 1600 / 2000 [ 80%] (Sampling) Chain 2: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 3: Iteration: 2000 / 2000 [100%] (Sampling) Chain 3: Chain 3: Elapsed Time: 1.289 seconds (Warm-up) Chain 3: 0.636 seconds (Sampling) Chain 3: 1.925 seconds (Total) Chain 3: Chain 4: Iteration: 1650 / 2000 [ 82%] (Sampling) Chain 2: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1700 / 2000 [ 85%] (Sampling) Chain 2: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 1750 / 2000 [ 87%] (Sampling) Chain 2: Iteration: 2000 / 2000 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 1.371 seconds (Warm-up) Chain 2: 0.66 seconds (Sampling) Chain 2: 2.031 seconds (Total) Chain 2: Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling) Chain 4: Iteration: 1850 / 2000 [ 92%] (Sampling) Chain 4: Iteration: 1900 / 2000 [ 95%] (Sampling) Chain 4: Iteration: 1950 / 2000 [ 97%] (Sampling) Chain 4: Iteration: 2000 / 2000 [100%] (Sampling) Chain 4: Chain 4: Elapsed Time: 1.532 seconds (Warm-up) Chain 4: 0.623 seconds (Sampling) Chain 4: 2.155 seconds (Total) Chain 4: