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.
Version: | 1.1.1 |
Depends: | R (≥ 2.10.0) |
Imports: | Rcpp, caret, solitude, kernlab, C50, e1071, FactoMineR, dplyr, factoextra, ggplot2 |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat, covr, knitr, rmarkdown |
Published: | 2020-09-03 |
Author: | Wanwan Zheng [aut, cre], Mingzhe Jin [aut], Lampros Mouselimis [ctb, cph] |
Maintainer: | Wanwan Zheng <teiwanwan at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
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) |
CRAN checks: | fmf results |
Reference manual: | fmf.pdf |
Package source: | fmf_1.1.1.tar.gz |
Windows binaries: | r-devel: fmf_1.1.1.zip, r-release: fmf_1.1.1.zip, r-oldrel: fmf_1.1.1.zip |
macOS binaries: | r-release: fmf_1.1.1.tgz, r-oldrel: fmf_1.1.1.tgz |
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