Package: rsimsum 0.13.1.9000

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

Authors:Alessandro Gasparini [cre, aut], Ian R. White [aut]

rsimsum_0.13.1.9000.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rsimsum/json (API)

# Install 'rsimsum' in R:
install.packages('rsimsum', repos = c('https://ellessenne.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ellessenne/rsimsum/issues

Pkgdown/docs site:https://ellessenne.github.io

Datasets:
  • frailty - Example of a simulation study on frailty survival models
  • frailty2 - Example of a simulation study on frailty survival models
  • MIsim - Example of a simulation study on missing data
  • MIsim2 - Example of a simulation study on missing data
  • nlp - Example of a simulation study on survival modelling
  • relhaz - Example of a simulation study on survival modelling
  • tt - Example of a simulation study on the t-test

On CRAN:

Conda:

biostatisticsmonte-carlo-errorsimulationsimulation-studysimulationsstatistics

8.37 score 31 stars 315 scripts 743 downloads 11 exports 26 dependencies

Last updated from:6041ba7a46. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK184
source / vignettesOK253
linux-release-x86_64OK187
macos-release-arm64OK158
macos-oldrel-arm64OK291
windows-develOK147
windows-releaseOK134
windows-oldrelOK129
wasm-releaseOK130

Exports:dropbigget_datais.multisimsumis.simsumis.summary.multisimsumis.summary.simsumkablemultisimsumnsimsimsumtidy

Dependencies:backportscheckmateclicpp11evaluatefarvergenericsggplot2ggridgesgluegtablehighrisobandknitrlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithrxfunyaml

Introduction to rsimsum
rsimsum | Notation | Performance measures | Example 1: Simulation study on missing data | Tabulating summary statistics | Plotting summary statistics | Dropping large estimates and standard errors | Example 2: Simulation study on survival modelling | References
Rendered fromA-introduction.Rmdusingknitr::rmarkdown

Last update: 2026-04-15
Started: 2019-07-12

Custom input values for confidence intervals and true values
Single Estimand | Multiple Estimands at Once
Rendered fromE-custom-inputs.Rmdusingknitr::rmarkdown

Last update: 2024-02-29
Started: 2019-11-28

Visualising results from rsimsum
Data | Summarise results | Scatter plots | Ridgeline plots | Lolly plots | Forest plots | Zipper plots | Heat plots | Contour plots and hexbin plots | Custom plotting
Rendered fromC-plotting.Rmdusingknitr::rmarkdown

Last update: 2023-03-19
Started: 2019-07-12

rsimsum and the tidyverse
Rendered fromF-rsimsumtidyverse.Rmdusingknitr::rmarkdown

Last update: 2021-03-18
Started: 2019-11-28

Nested loop plots
References
Rendered fromD-nlp.Rmdusingknitr::rmarkdown

Last update: 2019-11-15
Started: 2019-07-12

Simulating a simulation study
Introduction | Motivation | Data generating mechanisms | Methods | Performance measures | Sample size | Running the simulation study | Generate data | Run models | Aggregating results | Summarising results | Conclusions | References
Rendered fromB-relhaz.Rmdusingknitr::rmarkdown

Last update: 2019-07-12
Started: 2019-07-12