Package: imbalance
Type: Package
Title: Preprocessing Algorithms for Imbalanced Datasets
Version: 1.0.2.1
Authors@R: c(
   person("Ignacio", "Cordón", email = "nacho.cordon.castillo@gmail.com", role = c("aut", "cre")),
   person("Salvador", "García", role = "aut"),
   person("Alberto", "Fernández", role = "aut"),
   person("Francisco", "Herrera", role = "aut")
 )
Maintainer: Ignacio Cordón <nacho.cordon.castillo@gmail.com>
Description: Class imbalance usually damages the performance of classifiers. Thus, it is
             important to treat data before applying a classifier algorithm. This package
             includes recent resampling algorithms in the literature: (Barua et al. 2014)
             <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>,
             (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014)
             <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014)
             <doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to
             perform oversampling.
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: http://github.com/ncordon/imbalance/issues
URL: http://github.com/ncordon/imbalance
Depends: R (>= 3.3.0)
Imports: bnlearn, KernelKnn, ggplot2, utils, stats, mvtnorm, Rcpp,
        smotefamily, FNN, C50
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 7.0.2
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-03-30 12:10:40 UTC; hornik
Author: Ignacio Cordón [aut, cre],
  Salvador García [aut],
  Alberto Fernández [aut],
  Francisco Herrera [aut]
Repository: CRAN
Date/Publication: 2020-04-07 06:51:44 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 10:08:36 UTC; windows
Archs: i386, x64
