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>
Repository: CRAN
Date/Publication: 2023-10-02 08:10:02 UTC
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
Packaged: 2023-10-02 07:47:28 UTC; JuanMiguelMartinSant
Built: R 4.2.0; ; 2023-10-02 10:19:16 UTC; unix
