Package: SVEMnet
Type: Package
Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic
        Net Regression
Version: 2.5.4
Date: 2025-11-09
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 Self-Validated Ensemble Models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Supports Gaussian and binomial responses. Also implements the randomized permutation whole-model test for SVEM with Gaussian responses (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Some parts of the package code were drafted with assistance from generative AI tools.
Depends: R (>= 4.0.0)
Imports: glmnet (>= 4.1-6), stats, cluster, ggplot2, rlang, lhs,
        foreach, doParallel, doRNG, parallel, gamlss, gamlss.dist
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), withr, vdiffr,
        RhpcBLASctl
VignetteBuilder: knitr
License: GPL-2 | GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-09 15:27:09 UTC; andre
Author: Andrew T. Karl [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-5933-8706>)
Maintainer: Andrew T. Karl <akarl@asu.edu>
Repository: CRAN
Date/Publication: 2025-11-09 15:40:02 UTC
Built: R 4.5.1; ; 2025-11-09 17:13:15 UTC; unix
