rsimsum: Analysis of Simulation Studies Including Monte Carlo Error

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 <>), further extending it with additional functionality.

Version: 0.11.0
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: 2021-10-20
Author: Alessandro Gasparini ORCID iD [aut, cre], Ian R. White [aut]
Maintainer: Alessandro Gasparini <alessandro.gasparini at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-GB
Citation: rsimsum citation info
Materials: README NEWS
CRAN checks: rsimsum results


Reference manual: rsimsum.pdf
Vignettes: Introduction to rsimsum
Simulating a simulation study
Visualising results from rsimsum
Nested loop plots
Custom input values for confidence intervals and true values
rsimsum and the tidyverse


Package source: rsimsum_0.11.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rsimsum_0.10.1.tgz, r-release (x86_64): rsimsum_0.10.1.tgz, r-oldrel: rsimsum_0.10.1.tgz
Old sources: rsimsum archive


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