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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
DOI: 10.32614/CRAN.package.plsmod
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_1.0.0.tgz, r-oldrel (arm64): plsmod_1.0.0.tgz, r-release (x86_64): plsmod_1.0.0.tgz, r-oldrel (x86_64): plsmod_1.0.0.tgz
Old sources: plsmod archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.