Package: rgnoisefilt
Version: 1.1.2
Title: Elimination of Noisy Samples in Regression Datasets using Noise
        Filters
Authors@R: c(
    person(given = "Juan",
           family = "Martin",
           role = c("aut", "cre"),
           email = "juanmartin@usal.es"),
	person(given = "José A.",
	       family = "Sáez",
	       role = c("aut"),
	       email = "joseasaezm@ugr.es"),
	person(given = "Emilio",
	       family = "Corchado",
	       role = c("aut"),
	       email = "escorchado@usal.es"),
	person(given = "Pablo",
	       family = "Morales",
	       role = c("ctb"),
	       comment= "Author of the NoiseFiltersR package"),
	person(given = "Julian",
	       family = "Luengo",
	       role = c("ctb"),
	       comment= "Author of the NoiseFiltersR package"),
	person(given = "Luis P.F.",
	       family = "Garcia",
	       role = c("ctb"),
		   comment= "Author of the NoiseFiltersR package"),
	person(given = "Ana C.",
	       family = "Lorena",
	       role = c("ctb"),
		   comment= "Author of the NoiseFiltersR package"),
	person(given = "Andre C.P.L.F.",
	       family = "de Carvalho",
	       role = c("ctb"),
		   comment= "Author of the NoiseFiltersR package"),
	person(given = "Francisco",
	       family = "Herrera",
	       role = c("ctb"),
		   comment= "Author of the NoiseFiltersR package")
		   )
Description: Traditional noise filtering methods aim at removing noisy
        samples from a classification dataset. This package adapts
        classic and recent filtering techniques for use in regression
        problems, and it also incorporates methods specifically
        designed for regression data. In order to do this, it uses
        approaches proposed in the specialized literature, such as
        Martin et al. (2021) [<doi:10.1109/ACCESS.2021.3123151>] and
        Arnaiz-Gonzalez et al. (2016)
        [<doi:10.1016/j.eswa.2015.12.046>]. Thus, the goal of the
        implemented noise filters is to eliminate samples with noise in
        regression datasets.
License: GPL (>= 3)
URL: https://github.com/juanmartinsantos/rgnoisefilt
Depends: R (>= 3.2.0)
Imports: e1071, FNN, gbm, modelr, nnet, randomForest, rpart, arules,
        infotheo, entropy, ggplot2, class, kknn
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Author: Juan Martin [aut, cre], José A. Sáez [aut], Emilio Corchado
        [aut], Pablo Morales [ctb] (Author of the NoiseFiltersR
        package), Julian Luengo [ctb] (Author of the NoiseFiltersR
        package), Luis P.F. Garcia [ctb] (Author of the NoiseFiltersR
        package), Ana C. Lorena [ctb] (Author of the NoiseFiltersR
        package), Andre C.P.L.F. de Carvalho [ctb] (Author of the
        NoiseFiltersR package), Francisco Herrera [ctb] (Author of the
        NoiseFiltersR package)
Maintainer: Juan Martin <juanmartin@usal.es>
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev
Repository: https://juanmartinsantos.r-universe.dev
Date/Publication: 2025-05-24 16:04:28 UTC
RemoteUrl: https://github.com/juanmartinsantos/rgnoisefilt
RemoteRef: HEAD
RemoteSha: f3ac8fa1679e74519725d7ddb7bb1395ab432be6
RemoteSubdir: pkg/rgnoisefilt
Packaged: 2026-10-11 09:49:31 UTC; root