plsmod: Model Wrappers for Projection Methods

Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) <doi:10.1371/journal.pcbi.1005752>).

Version: 1.0.0
Depends: parsnip (≥ 0.2.0), R (≥ 3.4)
Imports: dplyr, generics, magrittr, mixOmics, purrr, rlang, tibble, tidyr
Suggests: rmarkdown, covr, modeldata, spelling, testthat (≥ 3.0.0)
Published: 2022-09-06
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph, fnd]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/plsmod/issues
License: MIT + file LICENSE
URL: https://plsmod.tidymodels.org, https://github.com/tidymodels/plsmod
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: plsmod results

Documentation:

Reference manual: plsmod.pdf

Downloads:

Package source: plsmod_1.0.0.tar.gz
Windows binaries: r-devel: plsmod_1.0.0.zip, r-release: plsmod_1.0.0.zip, r-oldrel: plsmod_1.0.0.zip
macOS binaries: r-release (arm64): plsmod_0.2.0.tgz, r-oldrel (arm64): plsmod_0.2.0.tgz, r-release (x86_64): plsmod_1.0.0.tgz, r-oldrel (x86_64): plsmod_1.0.0.tgz
Old sources: plsmod archive

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