Package: plsdof 0.5-0

plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.

Authors:Nicole Kraemer [aut], Mikio L. Braun [aut], Frederic Bertrand [aut, cre]

plsdof_0.5-0.tar.gz
plsdof_0.5-0.zip(r-4.7-any)plsdof_0.5-0.zip(r-4.6-any)plsdof_0.5-0.zip(r-4.5-any)
plsdof_0.5-0.tgz(r-4.6-any)plsdof_0.5-0.tgz(r-4.5-any)
plsdof_0.5-0.tar.gz(r-4.7-any)plsdof_0.5-0.tar.gz(r-4.6-any)
plsdof_0.5-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
plsdof/json (API)

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

Bug tracker:https://github.com/fbertran/plsdof/issues

Pkgdown/docs site:https://fbertran.github.io

On CRAN:

Conda:

4.01 score 3 stars 34 scripts 602 downloads 21 exports 1 dependencies

Last updated from:472d8e0ed7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK176
linux-releaseOK117
macos-releaseOK106
macos-oldrelOK88
windows-develOK82
windows-releaseOK63
windows-oldrelOK59
wasm-releaseOK96

Exports:benchmark.plsbenchmark.regressioncompute.lower.bounddAdnormalizedvvtzfirst.local.minimuminformation.criteriakernel.pls.fitkrylovlinear.pls.fitnormalizepcrpcr.cvpls.cvpls.dofpls.icpls.modelridge.cvtrvvtz

Dependencies:MASS