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

'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support.

Version:0.3.13
Depends:R (≥ 3.4)
Imports:Rcpp (≥ 0.12.12),foreach,iterators
LinkingTo:Rcpp,BH,RcppArmadillo,testthat
Suggests:Matrix,testthat,RcppArmadillo,dplyr,RWeka,entropy,FSelector,randomForest,doParallel,rpart,MASS,covr, parallel,htmltools,magrittr,knitr,RTCGA.rnaseq,ggplot2,microbenchmark,pbapply,tibble,rmarkdown,lintr,pkgdown,withr
Published:2024-10-02
DOI:10.32614/CRAN.package.FSelectorRcpp
Author:Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb], Patrick SchratzORCID iD [ctb]
Maintainer:Zygmunt Zawadzki <zygmunt at zstat.pl>
BugReports:https://github.com/mi2-warsaw/FSelectorRcpp/issues
License:GPL-2
URL:https://github.com/mi2-warsaw/FSelectorRcpp
NeedsCompilation:yes
CRAN checks:FSelectorRcpp results

Documentation:

Reference manual:FSelectorRcpp.html ,FSelectorRcpp.pdf
Vignettes:Benchmarks: discretize() (source,R code)
Motivation, Installation and Quick Workflow (source,R code)
Integer variables (source,R code)

Downloads:

Package source: FSelectorRcpp_0.3.13.tar.gz
Windows binaries: r-devel:FSelectorRcpp_0.3.13.zip, r-release:FSelectorRcpp_0.3.13.zip, r-oldrel:FSelectorRcpp_0.3.13.zip
macOS binaries: r-release (arm64):FSelectorRcpp_0.3.13.tgz, r-oldrel (arm64):FSelectorRcpp_0.3.13.tgz, r-release (x86_64):FSelectorRcpp_0.3.13.tgz, r-oldrel (x86_64):FSelectorRcpp_0.3.13.tgz
Old sources: FSelectorRcpp archive

Reverse dependencies:

Reverse imports:sphereML
Reverse suggests:filtro,mlr,mlr3filters,mlrCPO,sense

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=FSelectorRcppto link to this page.


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