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CRAN: Package plsRbeta

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: Downloads: Linking:

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