DESCRIPTION

Package: imbalance
Type: Package
Title: Preprocessing Algorithms for Imbalanced Datasets
Version: 1.0.2
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