20  Other Resources and Computing Environment

20.1 Other Resources

20.2 Computing Environment

The method for nicely printing environment information used here requires installation of the grateful package. It required the following to be included in _quarto.yml.

As an alternative, run Hmisc::markupSpecs$html$session().
bibliography:
  - grateful-refs.bib
require(rms)
require(data.table)
require(consort)
require(ggplot2)
grateful::cite_packages(pkgs='Session', output='paragraph', out.dir='.',
    cite.tidyverse=FALSE, omit='grateful')

We used R version 4.4.0 (R Core Team 2024) and the following R packages: consort v. 1.2.2 (Dayim 2024), data.table v. 1.16.4 (Barrett et al. 2024), ggplot2 v. 3.5.1 (Wickham 2016), Hmisc v. 5.2.1 (Harrell Jr 2024a), rms v. 6.9.0 (Harrell Jr 2024b).

Barrett, Tyson, Matt Dowle, Arun Srinivasan, Jan Gorecki, Michael Chirico, Toby Hocking, and Benjamin Schwendinger. 2024. data.table: Extension of data.frame. https://CRAN.R-project.org/package=data.table.
Dayim, Alim. 2024. consort: Create Consort Diagram. https://CRAN.R-project.org/package=consort.
Harrell Jr, Frank E. 2024a. Hmisc: Harrell Miscellaneous. https://hbiostat.org/R/Hmisc/.
———. 2024b. rms: Regression Modeling Strategies. https://hbiostat.org/R/rms/.
R Core Team. 2024. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.