Package: funcml
Type: Package
Title: Functional Machine Learning Framework
Version: 0.9.0
Depends: R (>= 3.5.0)
Authors@R: c(
    person(given = "Imad", family = "El Badisy", role = c("aut", "cre"), email = "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. Plug-in
    g-computation follows Naimi, Cole, and Kennedy (2016)
    <doi:10.1093/ije/dyw323>.
License: GPL-3
URL: https://CRAN.R-project.org/package=funcml
BugReports: https://github.com/ielbadisy/funcml/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Imports: stats, utils, ggplot2, functionals, grDevices, tools,
        data.table, MASS, mgcv, nnet, rpart, glmnet, ranger, e1071,
        randomForest, gbm, C50, kknn, earth, naivebayes, mda, ada, pls,
        partykit, dbarts, torch, xgboost, lightgbm, densemlp
Suggests: testthat (>= 3.1.0), knitr, rmarkdown, roxygen2, gggenes,
        ggfittext, pROC
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-08-21 09:09:57 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-22 15:10:24 UTC
Built: R 4.6.0; ; 2026-08-22 15:39:55 UTC; unix
