R.TeMiS: R Text Mining Solution

R.TeMiS (R Text Mining Solution) is a graphical user interface in R to create, transform and analyze text corpora. It was designed to limit “black box” effects, with which users or text mining environments are often faced, and favor reflexivity in the sociological use of textual data. This project, in collaboration with Gilles Bastin (Sciences Po Grenoble, Pacte), has lead to the development of six R packages:RcmdrPlugin.temis, SnowballC, tm.plugin.factiva, tm.plugin.europresse, tm.plugin.lexisnexis, tm.plugin.alceste.

Project website (in French)

logmult: log-multiplicative models, including association models

This R package allows easily fitting log-multiplicative models, and in particular association models, thanks to functions wrapping the gnm package. It offers rich graphical representations, jacknknife/bootstrap standard errors and complex survey design support. Currently supported models include UNIDIFF (Erikson & Goldthorpe), a.k.a. log-multiplicative layer effect model (Xie), and several association models: Goodman’s row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi and by van der Heijden & Mooijaart.

CRAN webpage GitHub webpage Short introduction

Julia: a language for scientific and technical computing

Julia is a programming language for scientific and technical computing, launched in 2012 by a team at MIT and developed since then by contributors with diverse backgrounds. Julia combines a high-level syntax similar to Python, R or MATLAB with a high performance, while offering advantages of recent programming languages, including a powerful type system particularly suited to numeric and statistical computing and to data processing.

Official website

JuliaStats (packages dedicated to statistics)

JuliaData (packages dedicated to data management)