plsRbeta: Partial Least Squares Regression for Beta Regression Models

Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Version:	0.3.0
Depends:	R (≥ 3.5.0)
Imports:	mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods
Suggests:	bipartite, knitr, markdown, plotrix, pls, plsdof, prettydoc, rmarkdown
Published:	2023-03-15
DOI:	10.32614/CRAN.package.plsRbeta
Author:	Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut]
Maintainer:	Frederic Bertrand <frederic.bertrand at utt.fr>
BugReports:	https://github.com/fbertran/plsRbeta/issues/
License:	GPL-3
URL:	https://fbertran.github.io/plsRbeta/, https://github.com/fbertran/plsRbeta/
NeedsCompilation:	no
Classification/MSC:	62J12, 62J99
Citation:	plsRbeta citation info
Materials:	README
In views:	MissingData
CRAN checks:	plsRbeta results

Documentation:

Reference manual:	plsRbeta.pdf
Vignettes:	Partial Least Squares Regression for Beta Regression Models

Downloads:

Package source:	plsRbeta_0.3.0.tar.gz
Windows binaries:	r-devel: plsRbeta_0.3.0.zip, r-release: plsRbeta_0.3.0.zip, r-oldrel: plsRbeta_0.3.0.zip
macOS binaries:	r-release (arm64): plsRbeta_0.3.0.tgz, r-oldrel (arm64): plsRbeta_0.3.0.tgz, r-release (x86_64): plsRbeta_0.3.0.tgz, r-oldrel (x86_64): plsRbeta_0.3.0.tgz
Old sources:	plsRbeta archive

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