R Package Development

R is a free software environment for statistical computing and graphics. R is distributed through CRAN (Comprehensive R Archive Network) mirrors . I contribute as developer/maintainer of the following R packages:

HEAVY 0.38.1: Robust estimation using heavy-tailed distributions

Functions to perform robust estimation considering heavy-tailed distributions. Currently, the package includes linear regression, linear mixed-effect models, multivariate location and scatter estimation, multivariate regression, penalized splines and random variate generation.
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L1pack 0.38.1: Routines for L1 Estimation

Provides routines to perform L1 estimation for linear regression, evaluation of density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution.
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MVT 0.3: Estimation and testing for the multivariate t-distribution

This package contains a set of routines to perform estimation and inference under the multivariate t-distribution. These methods are a direct generalization of the multivariate inference under the gaussian assumption. In addition, these procedures provide robust methods useful against outliers.
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SpatialPack 0.2-3: Package for analysis of spatial data

This package provides tools to assess the association between two spatial processes. Currently, three methodologies are implemented: An adapted t test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, and the codispersion coefficient.
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