plsRbeta: Partial Least Squares Regression for Beta Regression Models
Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <https://ojs-test.apps.ocp.math.cnrs.fr/index.php/J-SFdS/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: | 0.3.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods |
| Suggests: | bipartite, knitr, markdown, plotrix, pls, plsdof, prettydoc, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-09-20 |
| DOI: | 10.32614/CRAN.package.plsRbeta |
| Author: | Frederic Bertrand 
[cre, aut],
Myriam Maumy-Bertrand
[aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at lecnam.net> |
| 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.html , plsRbeta.pdf |
| Vignettes: |
Partial Least Squares Regression for Beta Regression Models (source, R code) |
Downloads:
| Package source: | plsRbeta_0.3.2.tar.gz |
| Windows binaries: | r-devel: plsRbeta_0.3.2.zip, r-release: plsRbeta_0.3.2.zip, r-oldrel: plsRbeta_0.3.2.zip |
| macOS binaries: | r-release (arm64): plsRbeta_0.3.2.tgz, r-oldrel (arm64): plsRbeta_0.3.2.tgz, r-release (x86_64): plsRbeta_0.3.2.tgz, r-oldrel (x86_64): plsRbeta_0.3.2.tgz |
| Old sources: | plsRbeta archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=plsRbeta to link to this page.