Create an interactive function map by analyzing a specified
    R script. It uses the find_dependencies() function from the
    'functiondepends' package to recursively trace all user-defined
    function dependencies.

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.

An implementation of revised functional regression models for multiple genetic variation data, such as single nucleotide polymorphism (SNP) data, which provides revised functional linear regression models, partially functional interaction regression analysis with penalty-based techniques and corresponding drawing functions, etc.(Ruzong Fan, Yifan Wang, James L. Mills, Alexander F. Wilson, Joan E. Bailey-Wilson, and Momiao Xiong (2013) <doi:10.1002/gepi.21757>).

Provides a small collection of higher-order functions for
    functional-style programming in R, including 'Curry' (partial
    application), 'CurryL' (lazy partial application), 'Compose'
    (function composition, including a multi-argument variant),
    'Identity', 'Negate' and 'Swap'.