Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0), doParallel, R6, foreach |
| Imports: | Rcpp (≥ 1.1.0) |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, glmnet, randomForest, e1071, covr, spelling, MASS |
| Published: | 2026-01-10 |
| DOI: | 10.32614/CRAN.package.unifiedml |
| Author: | T. Moudiki [aut, cre] |
| Maintainer: | T. Moudiki <thierry.moudiki at gmail.com> |
| BugReports: | https://github.com/Techtonique/unifiedml/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Techtonique/unifiedml |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | unifiedml results |
| Reference manual: | unifiedml.html , unifiedml.pdf |
| Vignettes: |
Formula vs matricial interfaces (source, R code) Introduction to R package 'unifiedml' (source, R code) |
| Package source: | unifiedml_0.2.0.tar.gz |
| Windows binaries: | r-devel: unifiedml_0.1.0.zip, r-release: unifiedml_0.1.0.zip, r-oldrel: unifiedml_0.1.0.zip |
| macOS binaries: | r-release (arm64): unifiedml_0.1.0.tgz, r-oldrel (arm64): unifiedml_0.1.0.tgz, r-release (x86_64): unifiedml_0.1.0.tgz, r-oldrel (x86_64): unifiedml_0.1.0.tgz |
| Old sources: | unifiedml archive |
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