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PPforest

0.2.0Package record

Projection Pursuit Classification Forest

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements projection pursuit forest algorithm for supervised classification.

Changes in 0.2.0
  • Changes in version 0.2.0
  • This is the fifth release of the package, with minor changes.
  • Added a predict() S3 method for PPforest objects.
  • Included new data standardization methods: min-max, quantile, and scale. If the PPforest object was fitted using any of these standardizations, the predict() method will apply the same transformation to newdata.
  • Argument class in PPforest version 0.1.3 was renamed as y
  • In version 0.1.3, the functions PPclasifly, baggtrees, and tres.pred were exported. In this version, they are now kept as internal functions.
  • Fixed several bugs.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-devel-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
  • OK13 OK2026-05-02
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 882 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.2.0Citation fileNo
Help pages
22
Examples that run
88%7 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
27%
Vignettes (1)

Downloads

3.2K
CRAN downloads in the past year
Rank #10,545 · ~9/day · ~267/mo
Daily download trend is not available in this view yet.
39030 days
98790 days
3.2K1 year
Compare downloads with other packages →
Also on357 r2u3 autocran

Repository

18Stars
9Forks
0Open issues
2Open PRs
0Releases
253Commits
6Commit identities
253 commits · Last activity 2025-09-04 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-03-02 · 182026-07-07 · 18
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/natydasilva/ppforest on 2026-10-21.

Continuous integration (1)
GitHub Actions
Docs source (2)
pkgdown

GitHub Pages site last deployed 2025-09-04

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing PPforest adds 26 packages (15 with compiled code, 21 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 4.1.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2017)
Author · added in 0.2.0
Listed in earlier versions (1)
no longer listed · 0.1.0 to 0.1.3
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    record
    2025-07-24 · current release · diff ↗ ·
    removed 3 exports
    PPclassify2, baggtree, trees_pred
  • 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
  • 0.1.3
    record
    2022-09-10 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.2
    record
    2021-10-14 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.1
    record
    2018-06-11 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.0
    record
    2017-12-15
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-12-15
Total releases
5 / 9 yrs
License
GPL (>= 2) OSI · relicensed from LGPL-2.1 in 0.1.1
Minimum R
≥ 4.1.0
Bundled data
191 KB / 10 files
Download size
2.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PPforest")
da Silva, N., Cook, D., & Lee, E. (2025). PPforest: Projection Pursuit Classification Forest (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PPforest

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 PPforest version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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