Heuristics Tools Based on Mutual Information for Variable Ranking

A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) . Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.


varrank 0.2:

  • pkgdown website

  • Bug in plot function

varrank 0.1:

  • first release on CRAN

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2 by Gilles Kratzer, 3 months ago


Browse source code at https://github.com/cran/varrank

Authors: Gilles Kratzer [aut, cre] , Reinhard Furrer [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, FNN, grDevices

Suggests knitr, rmarkdown, Boruta, DAAG, FSelector, caret, e1071, mlbench, psych, varSelRF, gplots, entropy, testthat

See at CRAN