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RPEnsemble

0.5

Random Projection Ensemble Classification

0packages depend
3.2Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Timothy I. CanningsFirst published 2015-05-055 releasesCRAN page ↗

Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble classification, J. Roy. Statist. Soc., Ser. B. (with discussion), 79, 959--1035". The random projection ensemble classifier is a general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 58 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

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

Downloads

3.2K
CRAN downloads in the past year
Rank #20,599 · ~9/day · ~267/mo
Daily download trend is not available in this view yet.
13630 days
54090 days
3.2K1 year
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Also on98 r2u16 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.4.0MASSparallel
Imports (2)
classstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

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Listed in earlier versions (2)
no longer listed · 0.1 to 0.5
no longer listed · 0.1 to 0.5
Package Timeline

5 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.5Latest
    2021-02-24 · current release · 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
  • 0.4
    2017-10-07 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.3
    2016-09-01 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.2
    2015-05-08 · diff ↗
  • 0.1
    2015-05-05
Show 1 earlier events
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-05-05
Total releases
5 / 11 yrs
License
GPL-3 OSI
Minimum R
≥ 3.4.0
Bundled data
75 KB / 1 file
Download size
85 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RPEnsemble")

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 RPEnsemble version 0.5 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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