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steprf

1.0.2

Stepwise Predictive Variable Selection for Random Forest

1packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jin LiFirst published 2021-11-083 releasesCRAN page ↗

An introduction to several novel predictive variable selection methods for random forest. They are based on various variable importance methods (i.e., averaged variable importance (AVI), and knowledge informed AVI (i.e., KIAVI, and KIAVI2)) and predictive accuracy in stepwise algorithms. For details of the variable selection methods, please see: Li, J., Siwabessy, J., Huang, Z. and Nichol, S. (2019) doi:10.3390/geosciences9040180. Li, J., Alvarez, B., Siwabessy, J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., Nichol, S. (2017). <DOI: 10.13140/RG.2.2.27686.22085>.

Install

Health

CRAN checks
13OK
Slowest check: 51 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
86%
Return-value docs
100%
References docs
86%

Downloads

2.2K
CRAN downloads in the past year
Rank #17,976 · ~6/day · ~179/mo
Daily download trend is not available in this view yet.
13930 days
62290 days
2.2K1 year
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Also on94 r2u21 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • 1.0.2Latest
    2022-06-29 · current release · diff ↗
  • 1.0.1
    2022-06-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    2021-11-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-08
Total releases
3 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
9.9 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("steprf")
Li, J. (2022). steprf: Stepwise Predictive Variable Selection for Random Forest (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.steprf

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 steprf version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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