Package: SVEMnet
Type: Package
Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic
        Net Regression
Version: 3.6.2
Date: 2026-09-18
Authors@R: 
    person(given = "Andrew T.",
           family = "Karl",
           email = "akarl@asu.edu",
           role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-5933-8706"))
Description: Implements the self-validated elastic-net and relaxed
        elastic-net ensemble modeling and multi-response optimization
        workflow described in Karl (2026)
        <doi:10.1016/j.chemolab.2026.105660>. Self-validated ensemble
        models (SVEM; Lemkus et al. (2021)
        <doi:10.1016/j.chemolab.2021.104439>) are fitted for
        small-sample design-of-experiments and related workflows using
        'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>).
        Fractional random-weight bootstraps with anti-correlated
        validation copies are used to tune penalty paths by
        validation-weighted AIC/BIC. Supports Gaussian and binomial
        responses, deterministic expansion helpers for shared factor
        spaces, prediction with bootstrap uncertainty, and a
        random-search optimizer that respects mixture constraints and
        combines multiple responses via desirability functions. Also
        includes a permutation-based whole-model test for Gaussian SVEM
        fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>).
        Package code was drafted with assistance from generative AI
        tools.
URL: https://doi.org/10.1016/j.chemolab.2026.105660,
        https://arxiv.org/abs/2511.20968
Depends: R (>= 4.0.0)
Imports: glmnet (>= 4.1-6), stats, cluster, ggplot2, lhs, parallel,
        utils
Suggests: foreach, testthat (>= 3.0.0), RhpcBLASctl
License: GPL-2 | GPL-3
Encoding: UTF-8
Config/testthat/edition: 3
LazyData: true
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-10-18 11:15:33 UTC; root
Author: Andrew T. Karl [cre, aut] (ORCID:
        <https://orcid.org/0000-0002-5933-8706>)
Maintainer: Andrew T. Karl <akarl@asu.edu>
Repository: https://akarl46556.r-universe.dev
Date/Publication: 2026-09-18 16:33:34 UTC
RemoteUrl: https://github.com/cran/SVEMnet
RemoteRef: HEAD
RemoteSha: 251c28b94033f1df0c456ac575cb9b3b76a4cfde