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Tools forTwo-Dimensional Monte-Carlo Simulations

The package

mc2d provides a complete framework to build and studyTwo-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlosimulations. It also includes various distributions frequently used inthe risk assessment domain (pert, triangular, Bernoulli, empiricaldiscrete and continuous, beta subjective, Minimum Quantile InformationDistribution, …).

Getting it

The stable version ofmc2d can be installed from CRANusing:

install.packages("mc2d")library("mc2d")

The development version ofmc2d can be installed fromGitHub (devtools needed):

if (!requireNamespace("devtools",quietly =TRUE))install.packages("devtools")devtools::install_github("rpouillot/mc2d")library("mc2d")

Check the NEWShere.

Documentation

See the manual and the vignettes distributed with the package.

Issues

Issues can be reported onhttps://github.com/rpouillot/mc2d/issues.

or directly to the maintainer Régis Pouillot: rpouillot@yahoo.fr

Citations

If you usemc2d, please cite:

R. Pouillot, M.-L. Delignette-Muller (2010), Evaluating variabilityand uncertainty in microbial quantitative risk assessment using two Rpackages. International Journal of Food Microbiology. 142(3):330-40


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