Package: FSelectorRcpp
Type: Package
Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature
        Selection Algorithms with a Sparse Matrix Support
Version: 0.1.0
Date: 2017-03-03
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")
    )
Description: '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.
Depends: R (>= 3.3.2)
License: GPL-2
LazyData: TRUE
SystemRequirements: C++11
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
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-06 07:55:17 UTC; zygmunt
Author: Zygmunt Zawadzki [aut, cre],
  Marcin Kosinski [aut],
  Krzysztof Slomczynski [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>
Repository: CRAN
Date/Publication: 2017-03-06 11:28:51
