DESCRIPTION

Package: FSelectorRcpp
Type: Package
Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support
Version: 0.3.13
Authors@R: c(
 person("Zygmunt", "Zawadzki", role = c("aut", "cre"), email = "zygmunt@zstat.pl"),
 person("Marcin", "Kosinski", role = c("aut"), email = "m.p.kosinski@gmail.com"),
 person("Krzysztof", "Slomczynski", role = c("ctb"), email = "krzysztofslomczynski@gmail.com"),
 person("Damian", "Skrzypiec", role = c("ctb"), email = "damian.j.skrzypiec@gmail.com"),
 person(given = "Patrick", family = "Schratz", role = c("ctb"), email = "patrick.schratz@gmail.com", comment = c(ORCID = "0000-0003-0748-6624"))
 )
Description: '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.
Depends: R (>= 3.4)
License: GPL-2
LazyData: TRUE
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
RoxygenNote: 7.3.2
Encoding: UTF-8
BugReports: https://github.com/mi2-warsaw/FSelectorRcpp/issues
URL: https://github.com/mi2-warsaw/FSelectorRcpp
VignetteBuilder: knitr