rsimsum

Spec sheet

Purpose

rsimsum is an R package for computing summary statistics from simulation studies.Read 12 Oct 2026 · ellessenne.github.io

Audience

The package is intended to help report and analyze simulation studies, including comparisons across methods and simulated scenarios.Read 12 Oct 2026 · ellessenne.github.io

Deployment

desktopRead 24 Sep 2026 · ellessenne.github.io

Free plan

YesRead 24 Sep 2026 · ellessenne.github.io

Support

The project links to GitHub to report bugs.Read 12 Oct 2026 · ellessenne.github.io

License

The package is licensed under GPL (>= 3).Read 12 Oct 2026 · ellessenne.github.io

Founded

2018Read 19 Oct 2026 · ellessenne.github.io

Documentation

The project says rsimsum includes five vignettes.Read 11 Oct 2026 · ellessenne.github.io

Estimands

The simsum function handles one estimand at a time, while multisimsum supports multiple estimands.Read 11 Oct 2026 · ellessenne.github.io

Installation

The package can be installed from CRAN or as a development version from GitHub using remotes.Read 12 Oct 2026 · ellessenne.github.io

Integration

The package uses ggplot2 for visualisations and extends its autoplot generic.Read 11 Oct 2026 · ellessenne.github.io

Missing values

Missing values are excluded by default, and boundary values can be set to drop estimates or standard errors beyond those limits.Read 11 Oct 2026 · ellessenne.github.io

Monte Carlo error

It computes Monte Carlo standard errors and confidence intervals based on them to help interpret simulation study results.Read 12 Oct 2026 · ellessenne.github.io

Multiple estimands

The simsum function handles one estimand at a time, while multisimsum summarizes studies with multiple estimands.Read 12 Oct 2026 · ellessenne.github.io

Notable limitation

The main simsum function handles simulation studies with a single estimand of interest at a time.Read 11 Oct 2026 · ellessenne.github.io

Plotting integration

rsimsum uses ggplot2 to produce data visualizations.Read 12 Oct 2026 · ellessenne.github.io

Regression models

NoRead 24 Sep 2026 · ellessenne.github.io

Scripting support

YesRead 24 Sep 2026 · ellessenne.github.io

Statistical tests

YesRead 24 Sep 2026 · ellessenne.github.io

Summary measures

Available measures include bias, empirical and model based standard errors, relative precision, mean squared error, coverage, and power.Read 12 Oct 2026 · ellessenne.github.io

Summary statistics

It can calculate bias, empirical and model-based standard errors, relative precision, relative error in model standard error, mean squared error, and coverage.Read 11 Oct 2026 · ellessenne.github.io

Visualisations

It uses ggplot2 to provide forest, lolly, zipper, scatter, Bland–Altman, ridgeline, heat, contour, and hexbin plots.Read 11 Oct 2026 · ellessenne.github.io

Visualizations

Its plotting functions include forest, lolly, zipper, scatter, Bland–Altman, ridgeline, heat, contour, and hexbin plots.Read 12 Oct 2026 · ellessenne.github.io

Windows and macOS downloads

CRAN lists Windows and macOS package binaries for download.Read 12 Oct 2026 · mirror.linux.ncsu.edu

Where Specifiction places it

• Statistical Analysis Software#80 of 1067.3