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stepgbm

1.0.1

Stepwise Variable Selection for Generalized Boosted Regression Modeling

0packages depend
2Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Jin LiFirst published 2021-12-102 releasesCRAN page ↗

An introduction to a couple of novel predictive variable selection methods for generalised boosted regression modeling (gbm). They are based on various variable influence methods (i.e., relative variable influence (RVI) and knowledge informed RVI (i.e., KIRVI, and KIRVI2)) that adopted similar ideas as AVI, KIAVI and KIAVI2 in the 'steprf' package, and also based on 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: 48 s · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.15
0.0%
Coverage · measured lines
100%
Documentation · exports
2
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
91%
Return-value docs
100%
References docs
67%

Downloads

2K
CRAN downloads in the past year
Rank #20,833 · ~6/day · ~169/mo
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13830 days
54990 days
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
Imports (2)
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

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Code & Tests

People & History

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

2 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
  • 1.0.1Latest
    2023-04-04 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    2021-12-10
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-12-10
Total releases
2 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
7.9 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stepgbm")
Li, J. (2023). stepgbm: Stepwise Variable Selection for Generalized Boosted Regression Modeling (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.stepgbm

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

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for stepgbm version 1.0.1 [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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