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 <arXiv:1810.01005>. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

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
Version1.3.0
URL https://fbertran.github.io/plsRglm/ 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 March 16, 2021, 1:08 a.m.