noisemodel: Noise Models for Classification Datasets

Implementation of models for the controlled introduction of errors in classification datasets. This package contains the noise models described in Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels, attributes and both simultaneously.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: caret, nnet, e1071, FNN, classInt, ggplot2, ExtDist, lsr, stringr, RColorBrewer, RSNNS, C50
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-10-17
Author: José A. Sáez [aut, cre]
Maintainer: José A. Sáez <joseasaezm at ugr.es>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: noisemodel results

Documentation:

Reference manual: noisemodel.pdf
Vignettes: Introduction to the noisemodel package

Downloads:

Package source: noisemodel_1.0.2.tar.gz
Windows binaries: r-devel: noisemodel_1.0.2.zip, r-release: noisemodel_1.0.2.zip, r-oldrel: noisemodel_1.0.2.zip
macOS binaries: r-release (arm64): noisemodel_1.0.2.tgz, r-oldrel (arm64): noisemodel_1.0.2.tgz, r-release (x86_64): noisemodel_1.0.2.tgz

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