# 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 and Regis Pouillot to share elements from the
R packages they are building.

## fitdistrplus:
Specification of 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 using the maximum
likelihood method or the method of matching moments and provide 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!

## 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 ...

Back to the
project