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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.
Getting started
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Package details |
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| Author | Frederic Bertrand [cre, aut] (ORCID: <https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (ORCID: <https://orcid.org/0000-0002-4615-1512>) |
| Maintainer | Frederic Bertrand <frederic.bertrand@utt.fr> |
| License | GPL-3 |
| Version | 0.3.1 |
| URL | https://fbertran.github.io/plsRbeta/ https://github.com/fbertran/plsRbeta/ |
| Package repository | View on CRAN |
| Installation |
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