varrank: 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) <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

AuthorGilles Kratzer [aut, cre] (<>), Reinhard Furrer [ctb] (<>)
MaintainerGilles Kratzer <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the varrank package in your browser

Any scripts or data that you put into this service are public.

varrank documentation built on Jan. 30, 2020, 1:07 a.m.