traineR
2.2.12Predictive (Classification and Regression) Models Homologator
Overview
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
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 98%
- References docs
- 0%
Downloads
Repository
Forks over time
PRs over time
Repository practices
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.
Dependencies
Code & Tests
People & History
15 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.2.12Latest
- unarchivedReturned to CRAN2026-03-03
- archivedRemoved from CRAN2026-02-04email to the maintainer is undeliverable
- 2.2.112026-01-27 · diff ↗
- 2.2.102026-01-17 · diff ↗
- 2.2.92025-12-18 · diff ↗
- 2.2.22025-05-23 · diff ↗
- unarchivedReturned to CRAN2025-05-23
- archivedRemoved from CRAN2025-05-15requires archived package 'kknn'
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.2.02023-11-10 · diff ↗
- 2.1.02023-10-09 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.0.42022-08-23 · diff ↗
Show 15 earlier events
- 1.7.42022-04-30 · diff ↗
- unarchivedReturned to CRAN2022-04-30
- archivedRemoved from CRAN2022-04-29requires archived package 'dummies'
- 1.7.32022-04-27 · diff ↗
- unarchivedReturned to CRAN2022-04-27
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2022-04-18'coercion to logical' errors were not corrected in time See https://www.stats.ox.ac.uk/pub/bdr/LENGTH1/
- 1.6.32022-04-06 · diff ↗
- 1.6.22021-06-03 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.6.12021-04-30 · diff ↗
- 1.0.12020-10-30 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.02019-10-07
- RR 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
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