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
card.svg |card.png
plsmod/json (API)
NEWS

# 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

5.95 score 14 stars 90 scripts 446 downloads 3 exports 81 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK236
source / vignettesOK241
linux-release-x86_64OK229
macos-release-arm64OK106
macos-oldrel-arm64OK120
windows-develOK170
windows-releaseOK150
windows-oldrelOK184
wasm-releaseOK202

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