I use R (GNU S, http://www.r-project.org) for statistical computing. Here are some R packages that I am currently involved in. Have fun!

• mefa: A framework package aimed to provide standardized computational environment for specialist work via object classes to represent the data coded by samples, taxa and segments (i.e. subpopulations, repeated measures). It supports easy processing of the data along with cross tabulation and relational data tables for samples and taxa. An object of class `mefa' is a project specific compendium of the data and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plotting, summary and reporting of `mefa' objects. Reports can be generated in plain text or LaTeX format. Vignette contains worked examples. Project development at https://r-forge.r-project.org/projects/mefa, get stable version from CRAN http://cran.r-project.org/web/packages/mefa.

• dclone: The package provides low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS. Project development at https://r-forge.r-project.org/projects/dcr, get stable version from CRAN http://cran.r-project.org/web/packages/dclone.

• vegan: This is a collaborative project for community ecology methods, with Jari Oksanen as lead developer. I contributed some functions (e.g. adipart, contribdiv, dispindmorisita, permatfull, permatswap and tsallis). Project development at http://r-forge.r-project.org/projects/vegan/, get stable version from CRAN http://cran.r-project.org/web/packages/vegan.

• mefaspat: It contains few experimental functions for spatial analysis. The package is part of the collaborative sedar (Spatial Ecological Data Analysis) bundle led by Stéphane Dray. Project website: http://r-forge.r-project.org/projects/sedar/