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.
Visit the project page

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.
Visit the project page

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.
Visit the project page

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.
Visit the project page