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-4.5)plsmod_1.0.0.9000.zip(r-4.4)plsmod_1.0.0.9000.zip(r-4.3)
plsmod_1.0.0.9000.tgz(r-4.5-any)plsmod_1.0.0.9000.tgz(r-4.4-any)plsmod_1.0.0.9000.tgz(r-4.3-any)
plsmod_1.0.0.9000.tar.gz(r-4.5-noble)plsmod_1.0.0.9000.tar.gz(r-4.4-noble)
plsmod_1.0.0.9000.tgz(r-4.4-emscripten)plsmod_1.0.0.9000.tgz(r-4.3-emscripten)
plsmod.pdf |plsmod.html✨
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 site:https://plsmod.tidymodels.org

On CRAN:

Conda:

mixomics

6.47 score 14 stars 1 packages 59 scripts 517 downloads 4 exports 87 dependencies

Last updated 5 months agofrom:3dc9cb6d58. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-winOKFeb 13 2025
R-4.5-macOKFeb 13 2025
R-4.5-linuxOKFeb 13 2025
R-4.4-winOKFeb 13 2025
R-4.4-macOKFeb 13 2025
R-4.3-winOKFeb 13 2025
R-4.3-macOKFeb 13 2025

Exports:%>%multi_predictpls_fittidy

Dependencies:base64encBHBiocParallelbslibcachemclicodetoolscolorspacecorpcorcpp11digestdplyrellipseevaluatefansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsggplot2ggrepelglobalsgluegridExtragsignalgtablehardhathighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixOmicsmunsellnlmeparsnippillarpkgconfigplyrpracmaprettyunitspurrrR6rappdirsrARPACKRColorBrewerRcppRcppEigenreshape2rglrlangrmarkdownRSpectrasassscalessnowsparsevctrsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

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