varrank (0.2)

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.

Maintainer: Gilles Kratzer
Author(s): Gilles Kratzer [aut, cre] (<>), Reinhard Furrer [ctb] (<>)

License: GPL-3

Uses: FNN, DAAG, caret, e1071, gplots, mlbench, psych, varSelRF, FSelector, entropy, testthat, Boruta, knitr, rmarkdown

Released over 1 year ago.