Frequently one needs a convenient way to build and tune several models in one go.The goal is to provide a number of machine learning convenience functions. It provides the ability to build, tune and obtain predictions of several models in one function. The models are built using functions from 'caret' with easier to read syntax. Kuhn(2014) <doi:10.48550/arXiv.1405.6974>.
Version: 0.3.9 Depends: R (≥ 4.4), caret (≥ 6.0.88), Metrics (≥ 0.1.4), e1071 (≥ 1.7.8) Imports: dplyr (≥ 1.0.0), ggplot2 (≥ 3.3.5), lme4 (≥ 1.1.27.1), stringr (≥ 1.4.0) Suggests: knitr, rmarkdown, testthat, covr, markdown Published: 2025-03-20 DOI: 10.32614/CRAN.package.manymodelr Author: Nelson Gonzabato [aut, cre] Maintainer: Nelson Gonzabato <gonzabato at hotmail.com> BugReports: https://github.com/Nelson-Gon/manymodelr/issues License: GPL-2 URL: https://github.com/Nelson-Gon/manymodelr NeedsCompilation: no Materials: NEWS CRAN checks: manymodelr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=manymodelr to link to this page.
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