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: | 0.1-18 |
Depends: | R (≥ 2.10.0), mvtnorm |
Imports: | stats, grDevices, graphics, utils |
Suggests: | fitdistrplus, survival |
Published: | 2017-03-06 |
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 |
Reference manual: | mc2d.pdf |
Vignettes: |
A Manual for mc2d: Tools for Two-Dimensional Monte-Carlo Simulations Case study: L. monocytogenes in cold-smoked salmon |
Package source: | mc2d_0.1-18.tar.gz |
Windows binaries: | r-devel: mc2d_0.1-18.zip, r-release: mc2d_0.1-18.zip, r-oldrel: mc2d_0.1-18.zip |
OS X El Capitan binaries: | r-release: mc2d_0.1-18.tgz |
OS X Mavericks binaries: | r-oldrel: mc2d_0.1-18.tgz |
Old sources: | mc2d archive |
Reverse depends: | AnnuityRIR, OSCV, pcaPA |
Reverse imports: | evaluator, hierarchicalDS, pcrsim, rriskDistributions, RSurveillance, WRS2 |
Reverse suggests: | decisionSupport, fitdistrplus, fitteR, sensitivity |
Please use the canonical form https://CRAN.R-project.org/package=mc2d to link to this page.