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varrank
View on CRAN: Click
here
Download and install varrank package within the R console
Install from CRAN:
install.packages("varrank")
Install from Github:
library("remotes")
install_github("cran/varrank") Install by package version:
library("remotes")
install_version("varrank", "0.5") Attach the package and use:
library("varrank")
Maintained by
Annina Cincera
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-23
Latest Update:
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.
How to cite:
Annina Cincera (2018). varrank: Heuristics Tools Based on Mutual Information for Variable Ranking. R package version 0.5, https://cran.r-project.org/web/packages/varrank. Accessed 11 Mar. 2026.
Previous versions and publish date:
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Complete documentation for varrank
Functions, R codes and Examples using
the varrank R package
Some associated functions: discretization . entropy-data . mi-data . nassCDS . plot-varrank . print-varrank . summary-varrank . varrank .
Some associated R codes: infotheo-toolbox.R . internal-toolbox.R . plot-varrank.R . print-varrank.R . summary-varrank.R . varrank-backward.R . varrank-forward.R . varrank.R . Full varrank package functions and examples
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