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

In plsRbeta: Partial Least Squares Regression for Beta Regression Models

plsRbeta: Partial Least Squares Regression for Beta Regression Models

Description

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.

Author(s)

Maintainer: Frederic Bertrand [e-mail] (ORCID)

Authors:

• Myriam Maumy-Bertrand [e-mail] (ORCID)

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/

See Also

Useful links:

• https://fbertran.github.io/plsRbeta/

• https://github.com/fbertran/plsRbeta/

• Report bugs at https://github.com/fbertran/plsRbeta/issues/

plsRbeta documentation built on Aug. 18, 2025, 5:12 p.m.