Package: funcml
Type: Package
Title: Functional Machine Learning Framework
Version: 0.7.2
Depends: R (>= 3.5.0)
Authors@R: c(
    person(given = "Imad", family = "El Badisy", role = c("aut", "cre"), email = "elbadisyimad@gmail.com")
  )
Author: Imad El Badisy
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Description: A compact and explicit machine learning framework for
        supervised learning, resampling-based evaluation,
        hyperparameter tuning, learner comparison, interpretation, and
        plug-in g-computation. The package uses standard formulas for
        model specification and provides stable S3 interfaces for
        fitting, evaluation, tuning, interpretation, and causal
        estimation across a learner registry with multiple backend
        engines. Implemented interpretation methods build on
        established approaches such as permutation-based variable
        importance, partial dependence, individual conditional
        expectation, accumulated local effects, SHAP, and LIME; see
        Friedman (2001) <doi:10.1214/aos/1013203451>, Goldstein et al.
        (2015) <doi:10.1080/10618600.2014.907095>, Apley and Zhu (2020)
        <doi:10.1111/rssb.12377>, Lundberg and Lee (2017)
        <doi:10.48550/arXiv.1705.07874>, and Ribeiro et al. (2016)
        <doi:10.48550/arXiv.1602.04938>. The framework is intentionally
        opinionated: preprocessing is expected to occur outside the
        modeling step, and the API emphasizes explicit inputs,
        consistent object contracts, and compact interfaces rather than
        feature-by-feature competition with larger machine learning
        ecosystems.
License: GPL-3
URL: https://github.com/ielbadisy/funcml
BugReports: https://github.com/ielbadisy/funcml/issues
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: stats, utils, methods, ggplot2, functionals, grDevices, tools
Suggests: testthat (>= 3.1.0), knitr, rmarkdown, roxygen2, gggenes,
        ggfittext, MASS, mgcv, nnet, rpart, glmnet, ranger, e1071,
        randomForest, gbm, C50, kknn, earth, naivebayes, mda, ada, pls,
        partykit, dbarts, torch, xgboost, lightgbm, shapviz
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Repository: https://ielbadisy.r-universe.dev
Date/Publication: 2026-06-15 19:48:20 UTC
RemoteUrl: https://github.com/ielbadisy/funcml
RemoteRef: HEAD
RemoteSha: e8f303b7a7dae82272147b13d0a641c64299054e
Packaged: 2026-07-15 09:05:09 UTC; root