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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 |
| Reference manual: | noisemodel.pdf |
| Vignettes: |
Introduction to the noisemodel package |
| 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, r-oldrel (x86_64): noisemodel_1.0.2.tgz |
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