Package: plsmod 1.0.0.9000

Max Kuhn

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>).

Authors:Max Kuhn [aut, cre], Posit Software, PBC [cph, fnd]

plsmod_1.0.0.9000.tar.gz
plsmod_1.0.0.9000.zip(r-4.7)plsmod_1.0.0.9000.zip(r-4.6)plsmod_1.0.0.9000.zip(r-4.5)
plsmod_1.0.0.9000.tgz(r-4.6-any)plsmod_1.0.0.9000.tgz(r-4.5-any)
plsmod_1.0.0.9000.tar.gz(r-4.7-any)plsmod_1.0.0.9000.tar.gz(r-4.6-any)
plsmod_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
plsmod/json (API)

# Install 'plsmod' in R:
install.packages('plsmod', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidymodels/plsmod/issues

Pkgdown/docs site:https://plsmod.tidymodels.org

On CRAN:

Conda:

mixomics

5.99 score 14 stars 99 scripts 492 downloads 3 exports 81 dependencies

Last updated from:a651eb271b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK219
source / vignettesOK306
linux-release-x86_64OK222
macos-release-arm64OK116
macos-oldrel-arm64OK110
windows-develOK152
windows-releaseOK123
windows-oldrelOK110
wasm-releaseOK187

Exports:multi_predictpls_fittidy

Dependencies:base64encBHBiocParallelbslibcachemclicodetoolscorpcorcpp11digestdplyrellipseevaluatefarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsggplot2ggrepelglobalsgluegridExtragtablehardhathighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemimemixOmicsparsnippillarpkgconfigplyrprettyunitspurrrR6rappdirsrARPACKRColorBrewerRcppRcppEigenreshape2rglrlangrmarkdownRSpectraS7sassscalessnowsparsevctrsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Model predictions across many sub-modelsmulti_predict._mixo_pls multi_predict._mixo_plsda multi_predict._mixo_spls multi_predict._mixo_splsda
Tidy methods for pls and spls objectstidy.mixo_pls tidy.mixo_spls