mcstatsim: Monte Carlo Statistical Simulation Tools Using a Functional Approach

A lightweight toolkit for Monte Carlo simulation studies built around a higher-order, functional-style interface: the simulation is expressed as a function of its parameters and mapped over a grid of conditions by a single driver function, which handles iteration, parallelism, reproducible per-replication random-number streams, error capture and result assembly. Also provides ready-to-use performance measures with Monte Carlo standard errors, a summary layer, and diagnostic plots.

Version: 0.9.2
Imports: functionals
Suggests: testthat (≥ 3.0.0), ggplot2, knitr, rmarkdown
Published: 2026-11-06
DOI: 10.32614/CRAN.package.mcstatsim
Author: Imad El Badisy [aut, cre, cph]
Maintainer: Imad El Badisy <elbadisyimad at gmail.com>
BugReports: https://github.com/ielbadisy/mcstatsim/issues
License: AGPL (≥ 3)
URL: https://CRAN.R-project.org/package=mcstatsim
NeedsCompilation: no
Citation: mcstatsim citation info
Materials: README, NEWS
CRAN checks: mcstatsim results

Documentation:

Reference manual: mcstatsim.html , mcstatsim.pdf
Vignettes: Monte Carlo simulation studies with mcstatsim (source, R code)

Downloads:

Package source: mcstatsim_0.9.2.tar.gz
Windows binaries: r-devel: mcstatsim_0.5.1.zip, r-release: mcstatsim_0.5.1.zip, r-oldrel: mcstatsim_0.9.2.zip
macOS binaries: r-release (arm64): mcstatsim_0.9.2.tgz, r-oldrel (arm64): mcstatsim_0.9.2.tgz, r-release (x86_64): mcstatsim_0.9.2.tgz, r-oldrel (x86_64): mcstatsim_0.9.2.tgz
Old sources: mcstatsim archive

Linking:

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