Package: varrank
Type: Package
Title: Heuristics Tools Based on Mutual Information for Variable
        Ranking
Version: 0.1
Author: Gilles Kratzer [aut, cre], Reinhard Furrer [ctb]
Maintainer: Gilles Kratzer <gilles.kratzer@math.uzh.ch>
Description: 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) <doi:10.1109/72.298224>. 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. 
Encoding: UTF-8
License: GPL-3
LazyData: true
Suggests: knitr, rmarkdown, Boruta, DAAG, FSelector, caret, e1071,
        mlbench, psych, varSelRF, gplots
Imports: stats, FNN, grDevices
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-20 12:26:43 UTC; Kratzer
Repository: CRAN
Date/Publication: 2018-04-23 06:27:56 UTC
