Package: noisemodel
Version: 1.0.2
Title: Noise Models for Classification Datasets
Authors@R: 
    person(given = "José A.",
           family = "Sáez",
           role = c("aut", "cre"),
           email = "joseasaezm@ugr.es")
Description: 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.
License: GPL (>= 3)
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)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.1
NeedsCompilation: no
Author: José A. Sáez [aut, cre]
Maintainer: José A. Sáez <joseasaezm@ugr.es>
Repository: CRAN
Date/Publication: 2022-10-17 06:20:02 UTC
Config/testthat/edition: 3
Packaged: 2022-10-14 13:05:44 UTC; joseasaezm
Built: R 4.6.0; ; 2026-04-30 14:39:12 UTC; unix
