plsRbeta: Partial Least Squares Regression for Beta Regression Models
Version 0.2.0

Provides Partial least squares Regression for (weighted) beta regression models 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 <frederic.bertrand@math.unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>.
Date of publication2014-12-17 16:18:28
MaintainerFrederic Bertrand <frederic.bertrand@math.unistra.fr>
LicenseGPL-3
Version0.2.0
URL http://www-irma.u-strasbg.fr/~fbertran/
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 29, 2017, 6:29 p.m.