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 |
| DOI: |
10.32614/CRAN.package.noisemodel |
| 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:
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