'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms with a sparse matrix support. It is also equipped with a parallel backend.

Maintainer: Zygmunt Zawadzki <zygmunt at zstat.pl>

Author(s): Zygmunt Zawadzki*, Marcin Kosinski*, Krzysztof Slomczynski*

Install package and any missing dependencies by running this line in your R console:

install.packages("FSelectorRcpp")

Depends R (>= 3.3.2)
Imports Rcpp(>=0.12.0), foreach, iterators
Suggests testthat, Matrix, RcppArmadillo, dplyr, RWeka, entropy, FSelector, randomForest, doSNOW, doParallel, rpart, MASS, covr, parallel, htmltools, magrittr, knitr, RTCGA.rnaseq, ggplot2, microbenchmark, pbapply, tibble, rmarkdown
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Linking to Rcpp, BH, RcppArmadillo, testthat
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Package FSelectorRcpp
Materials
URL http://mi2-warsaw.github.io/FSelectorRcpp/
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Version 0.1.3
Published 2017-04-29
License GPL-2
BugReports https://github.com/mi2-warsaw/FSelectorRcpp/issues
SystemRequirements C++11
NeedsCompilation yes
Citation
CRAN checks FSelectorRcpp check results
Package source FSelectorRcpp_0.1.3.tar.gz