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traineR

2.2.12

Predictive (Classification and Regression) Models Homologator

2packages depend
7.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Oldemar Rodriguez R.First published 2019-10-0715 releasesCRAN page ↗GitHub ↗

Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) doi:10.5282/ubm/epub.1769, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) doi:10.1201/9781315139470, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) doi:10.18637/jss.v054.i02, Extreme Gradient Boosting Chen & Guestrin (2016) doi:10.1145/2939672.2939785, Random Forest Breiman (2001) doi:10.1023/A:1010933404324, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) doi:10.1145/380995.380999, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) doi:10.1201/9780429258411, Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Quadratic Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Logistic Regression Dobson, A. J., & Barnett, A. G. (2018) doi:10.1201/9781315182780 and Penalized Logistic Regression Friedman, J. H., Hastie, T., & Tibshirani, R. (2010) doi:10.18637/jss.v033.i01.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
16
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
  • ERROR2026-06-07
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 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
100%
Documented parameters
98%
Return-value docs
98%
References docs
0%

Downloads

7.6K
CRAN downloads in the past year
Rank #9,243 · ~21/day · ~635/mo
Daily download trend is not available in this view yet.
19530 days
1K90 days
7.6K1 year
Compare downloads with other packages →
Also on154 r2u26 autocran

Repository

Repository
0Stars
1Forks
0Open issues
1Open PRs
0Releases
57Commits
4Contributors
57 commits · Last activity 2023-11-09

Forks over time

2026-01-09 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/promidat/trainer on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Author · added in 1.6.1
Author · added in 1.7.3
Author · added in 2.2.9
Package Timeline

15 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.2.12Latest
    2026-03-03 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-03-03
  • archivedRemoved from CRAN
    2026-02-04
    email to the maintainer is undeliverable
  • 2.2.11
    2026-01-27 · diff ↗
  • 2.2.10
    2026-01-17 · diff ↗
  • 2.2.9
    2025-12-18 · diff ↗
  • 2.2.2
    2025-05-23 · diff ↗
  • unarchivedReturned to CRAN
    2025-05-23
  • archivedRemoved from CRAN
    2025-05-15
    requires archived package 'kknn'
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.2.0
    2023-11-10 · diff ↗
  • 2.1.0
    2023-10-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.0.4
    2022-08-23 · diff ↗
Show 15 earlier events
  • 1.7.4
    2022-04-30 · diff ↗
  • unarchivedReturned to CRAN
    2022-04-30
  • archivedRemoved from CRAN
    2022-04-29
    requires archived package 'dummies'
  • 1.7.3
    2022-04-27 · diff ↗
  • unarchivedReturned to CRAN
    2022-04-27
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-04-18
    'coercion to logical' errors were not corrected in time See https://www.stats.ox.ac.uk/pub/bdr/LENGTH1/
  • 1.6.3
    2022-04-06 · diff ↗
  • 1.6.2
    2021-06-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.6.1
    2021-04-30 · diff ↗
  • 1.0.1
    2020-10-30 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.0
    2019-10-07
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-10-07
Total releases
15 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1
Download size
42 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("traineR")
Rodriguez R., O., Arroyo S., A., Jimenez A., D., Lobo V., J., & Navarro D., A. (2026). traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.12) [Computer software]. https://doi.org/10.32614/CRAN.package.traineR

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

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for traineR version 2.2.12 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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