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.
Package details 


Author  Gilles Kratzer [aut, cre] (<https://orcid.org/0000000259298935>), Reinhard Furrer [ctb] (<https://orcid.org/0000000263192332>) 
Maintainer  Gilles Kratzer <gilles.kratzer@math.uzh.ch> 
License  GPL3 
Version  0.3 
URL  https://www.math.uzh.ch/pages/varrank/ 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.