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).

Tools for Two-Dimensional Monte-Carlo Simulations

The package

mc2d provides a complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. It also includes various distributions frequently used in the risk assessment domain (pert, triangular, Bernoulli, empirical discrete and continuous, beta subjective, Minimum Quantile Information Distribution, ...).

Getting it

The stable version of mc2d can be installed from CRAN using:

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

The development version of mc2d can be installed from GitHub (devtools needed):

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

Check the NEWS here.

Documentation

See the manual and the vignettes distributed with the package.

Issues

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

or directly to the maintainer Régis Pouillot: [email protected]

Citations

If you use mc2d, please cite:

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