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wsrf

1.7.32

Weighted Subspace Random Forest for Classification

0packages depend
5.1Kdownloads / year
68.7%test coverage
13/13flavors OK

Overview

About

A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) DOI:10.4018/jdwm.2012040103. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.

Changes in 1.7.32

CRAN Checks

  • Resolve the warning "comparison of floating-point type with enumeration type is deprecated" because C++20 deprecated implicit conversions between enumerations and floating-point types.

From inst/NEWS.Rd in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • WARNING12 OK, 1 WARNING2026-06-07
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.7.32
READMEYes · 273 wordsVignettesYes · 1 · dynamicNEWSYes · mentions 1.7.32Citation fileYes · cites a publicationWebsiteYes
Cites a JSS article
Help pages
10
Examples that run
100%3 run in a plain check
Exported functions with examples
38%
Documented parameters
0%
Return-value docs
100%
Help pages citing references
40%

Downloads

5.1K
CRAN downloads in the past year
Rank #7,057 · ~14/day · ~425/mo
Daily download trend is not available in this view yet.
50930 days
1.2K90 days
5.1K1 year
Compare downloads with other packages →
Also on395 r2u13 autocran131 c2d4u

Repository

14Stars
1Forks
1Open issues
0Open PRs
0Releases
100Commits
1Commit identities
License file reads as GPL-2.0 · 100 commits · Last activity 2026-02-21
Responsiveness
not measured

Stars over time

2023-10-27 · 132026-07-07 · 14
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/simonyansenzhao/wsrf on 2026-10-11.

Continuous integration (1)
Travis CI (config file)
Reproducibility and dev environment (1)
Makefile
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing wsrf adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (4)
R >= 3.3.0parallelRcppstats
Imports (0)
none
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (6)
Author, Maintainer since 1.2.523 (2014)
Author · added in 1.5.0
Listed in earlier versions (3)
Show 3 peopleHide 3 people
no longer listed · 1.2.523 to 1.7.0
Huang
no longer listed · 1.7.10 to 1.7.32
Williams
no longer listed · 1.7.10 to 1.7.32
Releases (20)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.7.32Latest
    record
    2026-02-22 · current release · diff ↗
  • 1.7.31
    record
    2025-12-16 · diff ↗
  • 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
  • 1.7.30
    record
    2023-01-06 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.7.27
    record
    2022-03-13 · diff ↗
  • 1.7.22
    record
    2021-10-10 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.7.21
    record
    2021-04-28 · diff ↗
  • 1.7.20
    record
    2021-04-24 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
Show 18 earlier eventsHide 18 earlier events

Package metadata

First published
2014-01-08
Total releases
20 / 12 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.3.0
Download size
50 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wsrf")

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 wsrf version 1.7.32 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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