'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support R package FSelectorRcpp version 0.3.13 '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. Software 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 Zygmunt Zawadzki <zygmunt@zstat.pl> Comprehensive R Archive Network (CRAN) Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb], Patrick Schratz [ctb] (ORCID: <https://orcid.org/0000-0003-0748-6624>) GPL-2 2024-10-02 application/tgz https://CRAN.R-project.org/package=FSelectorRcpp doi:10.32614/CRAN.package.FSelectorRcpp