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mc2d  

Tools for Two-Dimensional Monte-Carlo Simulations
View on CRAN: Click here


Download and install mc2d package within the R console
Install from CRAN:
install.packages("mc2d")

Install from Github:
library("remotes")
install_github("cran/mc2d")

Install by package version:
library("remotes")
install_version("mc2d", "0.2.1")



Attach the package and use:
library("mc2d")
Maintained by
Regis Pouillot
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-14
Latest Update: 2024-06-05
Description:
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).
How to cite:
Regis Pouillot (2009). mc2d: Tools for Two-Dimensional Monte-Carlo Simulations. R package version 0.2.1, https://cran.r-project.org/web/packages/mc2d. Accessed 12 Mar. 2026.
Previous versions and publish date:
0.1-5 (2009-04-14 19:32), 0.1-6 (2009-09-12 13:32), 0.1-7 (2010-03-09 08:40), 0.1-8 (2010-06-04 10:41), 0.1-9 (2010-12-17 08:36), 0.1-10 (2011-07-23 15:57), 0.1-11 (2011-08-12 21:54), 0.1-12 (2011-11-14 07:41), 0.1-13 (2012-06-06 14:53), 0.1-14 (2013-10-16 16:39), 0.1-15 (2014-09-28 18:24), 0.1-16 (2016-02-15 23:24), 0.1-17 (2016-10-13 00:18), 0.1-18 (2017-03-06 13:53), 0.1-19 (2021-04-18 11:40), 0.1-20 (2021-07-01 18:00), 0.1-21 (2021-07-05 13:20), 0.1-22 (2022-11-20 21:00), 0.2.0 (2023-07-17 18:00)
Other packages that cited mc2d R package
View mc2d citation profile
Other R packages that mc2d depends, imports, suggests or enhances
Complete documentation for mc2d
Functions, R codes and Examples using the mc2d R package
Some associated functions: BetaSubjective . Lognormalb . MinimumQuantileInformation . NA.mcnode . Ops.mcnode . bernoulli . betagen . converg . cornode . dimmcnode . dirichlet . dmultinomial . ec . empiricalC . empiricalD . evalmcmod . extractvar . gghist . ggplotmc . ggspaghetti . ggtornado . hist.mc . is.mc . lhs . mc.control . mc . mcapply . mccut . mcmodel . mcnode . mcprobtree . mcratio . mcstoc . multinormal . outm . pert . plot.mc . plot.tornado . pmin . print.mc . quantile.mc . rtrunc . spaghetti . summary.mc . tornado . tornadounc . total . triangular . typemcnode . unmc . 
Some associated R codes: Ops.mcnode.R . bern.R . betagen.R . betasubjective.R . converg.R . cornode.R . empiricalC.R . empiricalD.R . evalmccut.R . evalmcmod.R . extractvar.R . gghist.R . ggplotmc.R . ggspaghetti.R . ggtornado.R . hist.mc.R . is.mc.R . is.na.R . lhs.R . lognormalb.R . mc.R . mcapply.R . mccontrol.R . mcdata.R . mcdatanocontrol.R . mcmodel.R . mcmodelcut.R . mcprobtree.R . mcratio.R . mcstoc.R . minimuminfo.R . outm.R . pert.R . plot.mc.R . plot.mccut.R . plot.tornado.R . pmin.R . print.mc.R . print.mccut.R . quantile.mc.R . rdirichlet.R . rmultinomial.R . rmultinormal.R . rtrunc.R . spaghetti.R . summary.mc.R . summary.mccut.R . tornado.R . tornadounc.mc.R . tornadounc.mccut.R . triang.R . unmc.R .  Full mc2d package functions and examples
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