Package: NumericEnsembles
Type: Package
Title: Multi-Model Stacking Optimization and Continuous Regression
        Ensembles
Version: 1.2.1
Authors@R: 
    person("Russ", "Conte", email = "russconte@mac.com", role = c("aut", "cre", "cph"))
Description: Automated parallelized regression ensemble pipeline
        executing concurrent evaluations across 17 base machine
        learning architectures, 6 specialized stacking meta-learners,
        and 136 pairwise hybrid combinations. The package implements
        dynamic performance-weighted stacking blends alongside internal
        data dictionary profiling metrics. It provides iterative
        multicollinearity pruning via Variance Inflation Factors (VIF)
        and automated executive Quarto report generation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: car, caret, doParallel, dplyr, foreach, ggplot2, ggrepel,
        parallel, party, patchwork, quarto, rstudioapi, shiny, stats,
        tidyr, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/NumericEnsembles
BugReports: https://github.com/InfiniteCuriosity/NumericEnsembles/issues
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://infinitecuriosity.r-universe.dev
Date/Publication: 2026-06-28 00:20:29 UTC
RemoteUrl: https://github.com/infinitecuriosity/numericensembles
RemoteRef: HEAD
RemoteSha: c840c87da7152106591fe4c8c7a09b4f27a98cc2
NeedsCompilation: no
Packaged: 2026-06-28 00:27:27 UTC; root
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>