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-any)plsmod_1.0.0.9000.zip(r-4.6-any)plsmod_1.0.0.9000.zip(r-4.5-any)
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

6.01 score 14 stars 104 scripts 514 downloads 3 exports 81 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK214
source / vignettesOK263
linux-releaseOK208
macos-releaseOK147
macos-oldrelOK120
windows-develOK132
windows-releaseOK138
windows-oldrelOK100
wasm-releaseOK193

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