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rgnoisefilt

1.1.3Package record

Elimination of Noisy Samples in Regression Datasets using Noise Filters

0packages depend
5.7Kdownloads / year
93.5%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 5.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.3
READMENoVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 1.1.3Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
25
Examples that run
100%25 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
88%
Vignettes (1)

Downloads

5.7K
CRAN downloads in the past year
Rank #11,060 · ~16/day · ~476/mo
Daily download trend is not available in this view yet.
34030 days
95690 days
5.7K1 year
Compare downloads with other packages →
Also on68 r2u1 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
0Releases
18Commits
1Commit identities
r-packageregression
18 commits · Last activity 2025-05-24
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2024-02-08 · 22026-07-07 · 2
PracticesBeta

Checks run against github.com/juanmartinsantos/rgnoisefilt on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing rgnoisefilt adds 42 packages (25 with compiled code, 37 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (1)
R >= 3.2.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (9)
Author, Maintainer since 1.1.1 (2023)
Contributor
Author of the NoiseFiltersR package
Contributor
Author of the NoiseFiltersR package
Contributor
Author of the NoiseFiltersR package
Contributor
Author of the NoiseFiltersR package
Contributor
Author of the NoiseFiltersR package
Contributor
Author of the NoiseFiltersR package
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-05-23
  • 1.1.3Latest
    record
    2025-05-23 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-05-15
    requires archived package 'kknn'
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.2
    record
    2023-10-02 · diff ↗
  • 1.1.1
    record
    2023-09-13
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-09-13
Total releases
3 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.2.0
Download size
64 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rgnoisefilt")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rgnoisefilt version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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