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Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effectselection methods in SAS, based on the change in loglikelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, the explained deviance, or the Ftest of the change in R².
Package details 


Author  Cesko C. Voeten [aut, cre] (<https://orcid.org/0000000346879973>) 
Maintainer  Cesko C. Voeten <cvoeten@gmail.com> 
License  FreeBSD 
Version  2.11 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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