mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).

Version: 0.2.1
Depends: R (≥ 2.10.0), mvtnorm
Imports: stats, grDevices, graphics, utils, ggplot2, ggpubr
Suggests: fitdistrplus, survival, testthat (≥ 3.0.0)
Published: 2024-06-05
DOI: 10.32614/CRAN.package.mc2d
Author: Regis Pouillot [aut, cre], Marie-Laure Delignette-Muller [ctb], Jean-Baptiste Denis [ctb], Yu Chen [ctb], Arie Havelaar [ctb]
Maintainer: Regis Pouillot <rpouillot at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: mc2d citation info
Materials: README NEWS
In views: Distributions
CRAN checks: mc2d results


Reference manual: mc2d.pdf
Vignettes: A Manual for mc2d: Tools for Two-Dimensional Monte-Carlo Simulations
Case study: L. monocytogenes in cold-smoked salmon


Package source: mc2d_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mc2d_0.2.1.tgz, r-oldrel (arm64): mc2d_0.2.1.tgz, r-release (x86_64): mc2d_0.2.1.tgz, r-oldrel (x86_64): mc2d_0.2.1.tgz
Old sources: mc2d archive

Reverse dependencies:

Reverse depends: AnnuityRIR, CopulaREMADA, CPP, OSCV, stratifyR
Reverse imports: CloneSeeker, handwriter, iCARH, PRA, rriskDistributions, RSurveillance, Umpire
Reverse suggests: decisionSupport, fitdistrplus, fitteR, sensitivity


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