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 <http://www.stata-journal.com/article.html?article=st0200>).

Version: 0.3.1
Depends: R (≥ 2.10)
Imports: checkmate, ggplot2, stats
Suggests: covr, devtools, dplyr, eha, knitr, rmarkdown, rstpm2, survival, testthat
Published: 2018-04-04
Author: Alessandro Gasparini ORCID iD [aut, cre], Ian R. White [aut]
Maintainer: Alessandro Gasparini <ag475 at leicester.ac.uk>
BugReports: https://github.com/ellessenne/rsimsum/issues
License: GPL (≥ 3)
URL: https://github.com/ellessenne/rsimsum
NeedsCompilation: no
CRAN checks: rsimsum results

Downloads:

Reference manual: rsimsum.pdf
Vignettes: Introduction to rsimsum
Visualising results from rsimsum
Simulating a simulation study
rsimsum and the tidyverse
Package source: rsimsum_0.3.1.tar.gz
Windows binaries: r-prerel: rsimsum_0.3.1.zip, r-release: rsimsum_0.3.1.zip, r-oldrel: rsimsum_0.3.1.zip
OS X binaries: r-prerel: rsimsum_0.3.1.tgz, r-release: rsimsum_0.3.1.tgz
Old sources: rsimsum archive

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