Welcome to the Project "Risk Assessment with R" !

This R-Forge project was first developed to help the administrators Marie-Laure Delignette Muller, Jean-Baptiste Denis, Regis Pouillot and Christophe Dutang to share elements from the R packages they are building. Now, the R-forge project aims to provide beta versions of forthcoming functionalities that will be later on CRAN.

fitdistrplus: Fitting a Parametric Distribution from Data

“fitdistrplus” is a set of functions specifically written:

• to help to choose the best parametric distribution that fits a given dataset;
• for a given distribution, to estimate the parameters one of the four available methods (maximum likelihoo estimation, moment matching estimation, maximum goodness-of-fit estimation and quantile matching estimation) and provide generic graphs and statistics to assess the fit. Specific functions were written for censored data (right- left- and interval-censored);
• for a fitted distribution, to simulate the uncertainty in the estimated parameters by parametric or nonparametric bootstrap resampling.

A stable version is available on CRAN here. A paper on this package has been published in the JSS here.

mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

"mc2d" is a set of functions specially written to:

• provide additional distributions: Bernoulli, triangular, PERT, discrete empirical, generalized beta, (vectorized) multi-normal, (vectorized) Dirichlet, (vectorized) multinomial;
• provide tools to build correlation structure between parameters: using the Iman & Conover (1982) method, possibly on more than two parameters;
• provide tools to build models: the package transfers easily variability and uncertainty along a mathematical model;
• provide tools to study the model: through ad-hoc summaries and graphics, sensitivity analyses (rank correlation on the variability or the uncertainty dimension), etc.

A stable version is available on CRAN here!

documair: Automatic documentation for R packages

"documair" gives a way to bind the coding effort with the documentation effort in unique files, producing from them the package until the preparation of the 'pkg.tar.gz'.

A stable version is available on CRAN here!

rbmn: Handling Linear Gaussian Bayesian Networks

"rbmn" proposes a series of functions to handle Linear Gaussian Bayesian networks with specific interface with the bnlearn package of Marco Scutari.

tenso

is associated with the checks of results proposed in the technical report 'Decomposing Square Matrices, J.-B. Denis, RT-2014-3, Inra-Miaj' where symmetrical and anti-symmetrical orthogonal decompositions of square matrices are investigated.

placo

mainly aims to provide general functions to display sets of related images through html pages.

Feel free to join this project to:

• Test the packages;
• Develop new functions within the packages;
• Develop and post new R packages in the Risk Assessment domain ...

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