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: rpouillot@yahoo.fr

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