DESCRIPTION

Package: FSelectorRcpp
Type: Package
Title: 'Rcpp' implementation of 'FSelector' entropy-based feature selection algorithms with a sparse matrix support
Version: 0.1.0
Date: 2016-02-20
Authors@R: c(
    person("Zygmunt", "Zawadzki", role = c("aut", "cre"), email = "zygmunt.zawadzki@gmail.com"),
    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.
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
RoxygenNote: 5.0.1