plsRglm: Partial Least Squares Regression for Generalized Linear Models

Provides (weighted) Partial least squares Regression for generalized linear models and repeated 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 <[email protected]>
LicenseGPL-3
Version1.2.5
URL http://www-irma.u-strasbg.fr/~fbertran/ https://github.com/fbertran/plsRglm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("plsRglm")

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plsRglm documentation built on May 2, 2019, 5:55 a.m.