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:	0.1-22
Depends:	R (≥ 2.10.0), mvtnorm
Imports:	stats, grDevices, graphics, utils
Suggests:	fitdistrplus, survival, testthat (≥ 3.0.0)
Published:	2022-11-20
Author:	Regis Pouillot [aut, cre], Marie-Laure Delignette-Muller [ctb], Jean-Baptiste Denis [ctb]
Maintainer:	Regis Pouillot <rpouillot at yahoo.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	mc2d citation info
Materials:	NEWS
In views:	Distributions
CRAN checks:	mc2d results

Documentation:

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

Downloads:

Package source:	mc2d_0.1-22.tar.gz
Windows binaries:	r-devel: mc2d_0.1-22.zip, r-release: mc2d_0.1-22.zip, r-oldrel: mc2d_0.1-22.zip
macOS binaries:	r-release (arm64): mc2d_0.1-22.tgz, r-oldrel (arm64): mc2d_0.1-22.tgz, r-release (x86_64): mc2d_0.1-22.tgz, r-oldrel (x86_64): mc2d_0.1-22.tgz
Old sources:	mc2d archive

Reverse dependencies:

Reverse depends:	AnnuityRIR, CopulaREMADA, CPP, OSCV, stratifyR
Reverse imports:	CloneSeeker, hierarchicalDS, iCARH, rriskDistributions, RSurveillance, Umpire, WRS2
Reverse suggests:	decisionSupport, fitdistrplus, fitteR, sensitivity

Linking:

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