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 R-Forge, get stable version from CRAN. See Sólymos (2009, JSS) at http://www.jstatsoft.org/v29/i08/
mefa4: package defines S4 object classes and uses sparse matrix representation to enhance efficiency of the mefa package. Project development at R-Forge, get stable version from CRAN. 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. It also contains some features for parallel computing. Project development at R-Forge, get stable version from CRAN. See Sólymos (2010, R Journal) at http://journal.r-project.org/ - dcmle: Hierarchical models made easy with data cloning: S4 classes around infrastructure provided by the dclone package to make package development with data cloning for hierarchical models easy as a breeze. Project development at R-Forge, get stable version from CRAN.
- detect: Analyzing Wildlife Data with Detection Error. Project development at R-Forge, get stable version from CRAN.
vegan: This is a collaborative project for community ecology methods, with Jari Oksanen as lead developer. I contributed functions, e.g. adipart, contribdiv, dispindmorisita, permatfull, permatswap, indpower and tsallis. Project development at R-Forge, get stable version from CRAN. - pbapply: A lightweight package that adds progress bar to vectorized
R functions ('*apply'). The implenentation can easily be added
to functions, where showing the progress is useful for the user
(e.g. bootstrap). Project development at R-Forge, get stable version from CRAN.
- sharx: Data sets and SAR, SARX, HSAR and HSARX models as
described in Solymos and Lele (2011 in press, GEB, link). Project development at R-Forge, get stable version from CRAN.
- I have also contributed some pieces of code to these R packages:
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