varrank (0.2)

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Heuristics Tools Based on Mutual Information for Variable Ranking.

https://www.math.uzh.ch/pages/varrank/
http://cran.r-project.org/web/packages/varrank

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] (<https://orcid.org/0000-0002-5929-8935>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)

License: GPL-3

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

Released 2 months ago.


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