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regfilter  

Elimination of Noisy Samples in Regression Datasets using Noise Filters
View on CRAN: Click here


Download and install regfilter package within the R console
Install from CRAN:
install.packages("regfilter")

Install from Github:
library("remotes")
install_github("cran/regfilter")

Install by package version:
library("remotes")
install_version("regfilter", "1.1.1")



Attach the package and use:
library("regfilter")
Maintained by
Juan Martin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-07
Latest Update:
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) [] and Arnaiz-Gonzalez et al. (2016) []. Thus, the goal of the implemented noise filters is to eliminate samples with noise in regression datasets.
How to cite:
Juan Martin (2022). regfilter: Elimination of Noisy Samples in Regression Datasets using Noise Filters. R package version 1.1.1, https://cran.r-project.org/web/packages/regfilter. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:49), 1.0.1 (2022-03-07 21:00), 1.0.2 (2022-03-10 12:00), 1.0.3 (2023-04-27 21:40), 1.1.0 (2023-08-26 00:40), 1.1.1 (2023-09-04 19:30)
Other packages that cited regfilter R package
View regfilter citation profile
Other R packages that regfilter depends, imports, suggests or enhances
Functions, R codes and Examples using the regfilter R package
Some associated functions: discCNN . discENN . discNCL . discTL . plot.rfdata . print.rfdata . regAENN . regBBNR . regCNN . regCVCF . regDF . regEF . regENN . regFMF . regGE . regHRRF . regIPF . regIRF . regRND . regRNN . rfCDF . rfDROP2 . rfDROP3 . rfMIF . summary.rfdata . 
Some associated R codes: discCNN.R . discENN.R . discNCL.R . discTL.R . regAENN.R . regBBNR.R . regCNN.R . regCVCF.R . regDF.R . regEF.R . regENN.R . regFMF.R . regGE.R . regHRRF.R . regIPF.R . regIRF.R . regRND.R . regRNN.R . rfCDF.R . rfDROP2.R . rfDROP3.R . rfMIF.R . rfdata.R . utility.R .  Full regfilter package functions and examples
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