unifiedml: Unified Interface for Machine Learning Models

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:	0.1.0
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:	2025-11-13
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

Documentation:

Reference manual:	unifiedml.html , unifiedml.pdf
Vignettes:	Introduction to R package 'unifiedml' (source, R code)

Downloads:

Package source:	unifiedml_0.1.0.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

Linking:

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