FSelectorRcpp: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support

'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.

Version: 0.1.2
Depends: R (≥ 3.3.2)
Imports: Rcpp (≥ 0.12.0), foreach, iterators
LinkingTo: Rcpp, BH, RcppArmadillo, testthat
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
Published: 2017-03-12
Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt at zstat.pl>
BugReports: https://github.com/mi2-warsaw/FSelectorRcpp/issues
License: GPL-2
URL: http://mi2-warsaw.github.io/FSelectorRcpp/
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: FSelectorRcpp results

Downloads:

Reference manual: FSelectorRcpp.pdf
Vignettes: Microbenchmarks of FSelectoRcpp and FSelector - discretization
Get started: Motivation, Installation and Quick Workflow
Package source: FSelectorRcpp_0.1.2.tar.gz
Windows binaries: r-devel: FSelectorRcpp_0.1.2.zip, r-release: FSelectorRcpp_0.1.2.zip, r-oldrel: not available
OS X Mavericks binaries: r-release: not available, r-oldrel: not available
Old sources: FSelectorRcpp archive

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