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
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plsmod.pdf |plsmod.html✨
plsmod/json (API)
NEWS

# Installplsmod 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

On CRAN:

4 exports 14 stars 1.97 score 61 dependencies 376 downloads

Last updated 3 months agofrom:902b4892b0

Exports:%>%multi_predict pls_fit tidy

Dependencies:BH BiocParallel cli codetools colorspace corpcor cpp11 dplyr ellipse fansi farver formatR futile.logger futile.options generics ggplot2 ggrepel globals glue gridExtra gtable hardhat igraph isoband labeling lambda.r lattice lifecycle magrittr MASS Matrix matrixStats mgcv mixOmics munsell nlme parsnip pillar pkgconfig plyr prettyunits purrr R6 rARPACK RColorBrewer Rcpp RcppEigen reshape2 rlang RSpectra scales snow stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Model predictions across many sub-models	multi_predict._mixo_pls multi_predict._mixo_plsda multi_predict._mixo_spls multi_predict._mixo_splsda
Tidy methods for pls and spls objects	tidy.mixo_pls tidy.mixo_spls