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plsRbeta (version 0.3.1)

plsRbeta-package: plsRbeta: Partial Least Squares Regression for Beta Regression Models

Description

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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.

Arguments

Author

Maintainer: Frederic Bertrand frederic.bertrand@utt.fr (ORCID)

Authors:

References

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>), https://github.com/fbertran/plsRbeta/ et https://fbertran.github.io/plsRbeta/

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