https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.">

rsimsum: Analysis of Simulation Studies Including Monte Carlo Error (original) (raw)

Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.

Version: 0.13.0
Depends: R (≥ 2.10)
Imports: checkmate, generics, ggridges, ggplot2, knitr, lifecycle, rlang (≥ 0.4.0), scales, stats
Suggests: covr, devtools, dplyr, eha, rmarkdown, rstpm2, survival, testthat, usethis
Published: 2024-03-03
DOI: 10.32614/CRAN.package.rsimsum
Author: Alessandro GaspariniORCID iD [aut, cre], Ian R. White [aut]
Maintainer: Alessandro Gasparini
BugReports: https://github.com/ellessenne/rsimsum/issues
License: GPL (≥ 3)
URL: https://ellessenne.github.io/rsimsum/,https://github.com/ellessenne/rsimsum
NeedsCompilation: no
Language: en-GB
Citation: rsimsum citation info
Materials: README NEWS
CRAN checks: rsimsum results

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