Package: fmf
Type: Package
Title: Fast Class Noise Detector with Multi-Factor-Based Learning
Version: 1.1.1
Date: 2020-08-07
Author: Wanwan Zheng [aut, cre],
  Mingzhe Jin [aut],
  Lampros Mouselimis [ctb, cph]
Maintainer: Wanwan Zheng <teiwanwan@gmail.com>
Authors@R: c(
  person("Wanwan", "Zheng", role=c("aut","cre"), email="teiwanwan@gmail.com"),
  person("Mingzhe", "Jin", role="aut"),
  person("Lampros", "Mouselimis", role=c("ctb", "cph")))
Description: A fast class noise detector which provides noise score for each observations. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: libarmadillo: apt-get install -y libarmadillo-dev
        (deb), libblas: apt-get install -y libblas-dev (deb),
        liblapack: apt-get install -y liblapack-dev (deb),
        libarpack++2: apt-get install -y libarpack++2-dev (deb),
        gfortran: apt-get install -y gfortran (deb)
LazyData: TRUE
Depends: R(>= 2.10.0)
Imports: Rcpp, caret, solitude, kernlab, C50, e1071, FactoMineR, dplyr,
        factoextra, ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: yes
Repository: CRAN
Packaged: 2020-08-29 04:52:56 UTC; Mjin
Date/Publication: 2020-09-03 07:32:12 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 16:17:48 UTC; windows
Archs: i386, x64
