plsRbeta: Partial Least Squares Regression for Beta Regression Models
Version 0.2.2

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 [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Date of publication2018-06-11 21:13:01 UTC
MaintainerFrederic Bertrand <[email protected]>
LicenseGPL-3
Version0.2.2
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")

Try the plsRbeta package in your browser

Any scripts or data that you put into this service are public.

plsRbeta documentation built on June 12, 2018, 1:03 a.m.