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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 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: 0.3.11
Depends: R (≥ 3.4)
Imports: Rcpp (≥ 0.12.12), foreach, iterators
LinkingTo: Rcpp, BH, RcppArmadillo, testthat
Suggests: testthat, Matrix, 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: 2023-04-28
Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb], Patrick Schratz ORCID 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.pdf
Vignettes: Microbenchmarks of FSelectoRcpp and FSelector - discretization
Get started: Motivation, Installation and Quick Workflow
Integer variables

Downloads:

Package source: FSelectorRcpp_0.3.11.tar.gz
Windows binaries: r-devel: FSelectorRcpp_0.3.11.zip, r-release: FSelectorRcpp_0.3.11.zip, r-oldrel: FSelectorRcpp_0.3.11.zip
macOS binaries: r-release (arm64): FSelectorRcpp_0.3.11.tgz, r-oldrel (arm64): FSelectorRcpp_0.3.11.tgz, r-release (x86_64): FSelectorRcpp_0.3.11.tgz, r-oldrel (x86_64): FSelectorRcpp_0.3.11.tgz
Old sources: FSelectorRcpp archive

Reverse dependencies:

Reverse suggests: mlr, mlr3filters, mlrCPO, sense

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FSelectorRcpp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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