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-prerel: noisemodel_1.0.2.zip, r-release: noisemodel_1.0.2.zip, r-oldrel: noisemodel_1.0.2.zip
macOS binaries:	r-prerel (arm64): noisemodel_1.0.2.tgz, r-release (arm64): noisemodel_1.0.2.tgz, r-oldrel (arm64): noisemodel_1.0.2.tgz, r-prerel (x86_64): noisemodel_1.0.2.tgz, r-release (x86_64): noisemodel_1.0.2.tgz

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