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ClassificationEnsembles

1.0.2Package record

Automatically Builds 12 Classification Models (6 Individual and 6 Ensembles of Models) from Classification Data

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

Overview

About

Automatically builds 12 classification models from data. The package also returns 25 plots, 5 tables and a summary report.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-oldrel-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 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 605 wordsVignettesYes · 1 · staticNEWSYes · 67% structured · mentions 1.0.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.2K
CRAN downloads in the past year
Rank #14,004 · ~9/day · ~270/mo
Daily download trend is not available in this view yet.
30030 days
85090 days
3.2K1 year
Compare downloads with other packages →
Also on160 r2u19 autocran

Repository

2Stars
0Forks
14Open issues
0Open PRs
1Releases
69Commits
1Commit identities
69 commits · Last activity 2026-06-28 · 0% stars, 30d · Default branch at 1.1.0, ahead of CRAN 1.0.2 (checked 2026-10-25)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-06-05 · 12026-07-07 · 2
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/infinitecuriosity/classificationensembles on 2026-10-25.

Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)

Installing ClassificationEnsembles adds 160 packages (86 with compiled code, 132 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Imports (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.5.0 (2025), Copyright holder
Releases (6)

Pick two releases to compare their code metrics.

Package metadata

First published
2025-04-01
Total releases
6 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
99 KB / 4 files
Download size
2.7 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ClassificationEnsembles")
Conte, R. (2026). ClassificationEnsembles: Automatically Builds 12 Classification Models (6 Individual and 6 Ensembles of Models) from Classification Data (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ClassificationEnsembles

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 ClassificationEnsembles version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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