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 |