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FeatureTerminatoR

1.0.0Package record

Feature Selection Engine to Remove Features with Minimal Predictive Power

0packages dependsuggested by 1
3.1Kdownloads / year
–test coverage
0/13flavors OK

Overview

About

The aim is to take in data.frame inputs and utilises methods, such as recursive feature engineering, to enable the features to be removed. What this does differently from the other packages, is that it gives you the choice to remove the variables manually, or it automated this process. Feature selection is a concept in machine learning, and statistical pipelines, whereby unimportant, or less predictive variables are eliminated from the analysis, see Boughaci (2018) doi:10.1007/s40595-018-0107-y.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) mutlicol_terminator.Rd:23: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) mutlicol_terminator.Rd:24: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) mutlicol_terminator.Rd:25: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) mutlicol_terminator.Rd:26: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) rfeTerminator.Rd:42: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) rfeTerminator.Rd:43: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) rfeTerminator.Rd:44: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) rfeTerminator.Rd:45: Lost braces in \itemize; \value handles \item{}{} directly
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘e1071’ ‘lattice’ ‘randomForest’ ‘tibble’ ‘utils’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 3.1 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTE2026-06-09
  • ERROR12 NOTE, 1 ERROR2026-06-08
  • NOTE13 NOTE2026-05-02
  • ERROR11 NOTE, 1 ERROR2026-04-25
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMENoVignettesYes · 1 · dynamicNEWSYes · 33% structured · does not mention 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%
Vignettes (1)

Downloads

3.1K
CRAN downloads in the past year
Rank #15,230 · ~9/day · ~261/mo
Daily download trend is not available in this view yet.
29330 days
79990 days
3.1K1 year
Compare downloads with other packages →
Also on66 r2u5 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing FeatureTerminatoR adds 64 packages (35 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)
none
Imports (9)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (1)
Author, Maintainer since 1.0.0 (2021)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0Latest
    2021-07-14 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-07-14
Total releases
1 / 5 yrs
License
GPL-3 OSI
Download size
153 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FeatureTerminatoR")
Hutson, G. (2021). FeatureTerminatoR: Feature Selection Engine to Remove Features with Minimal Predictive Power (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FeatureTerminatoR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 FeatureTerminatoR version 1.0.0 [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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