plsRbeta: Partial Least Squares Regression for Beta Regression Models

Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/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

Package details

AuthorFrederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
MaintainerFrederic Bertrand <frederic.bertrand@math.unistra.fr>
LicenseGPL-3
Version0.2.5
URL http://www-irma.u-strasbg.fr/~fbertran/ https://github.com/fbertran/plsRbeta
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("plsRbeta")

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plsRbeta documentation built on May 1, 2019, 6:35 p.m.