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' (See White I.R., 2010 <>).

Version: 0.6.0
Depends: R (≥ 2.10)
Imports: checkmate, ggridges, ggplot2, rlang (≥ 0.4.0), scales, stats
Suggests: covr, devtools, dplyr, eha, knitr, rmarkdown, rstpm2, survival, testthat, usethis, viridis
Published: 2019-07-15
Author: Alessandro Gasparini ORCID iD [aut, cre], Ian R. White [aut]
Maintainer: Alessandro Gasparini <ag475 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
rsimsum and the tidyverse
Package source: rsimsum_0.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: rsimsum_0.5.2.tgz, r-oldrel: rsimsum_0.5.2.tgz
Old sources: rsimsum archive


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