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A new package for fitting random effect models

Einbeck, Jochen; Hinde, John; Darnell, Ross

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Authors

John Hinde

Ross Darnell



Abstract

Random effects have become a standard concept in statistical modelling over the last decades. They enter a wide range of applications by providing a simple tool to account for such problems as model misspecification, unobserved (latent) variables, unobserved heterogeneity, and the like. One of the most important model classes for the use of random effects is the generalized linear model. Aitkin (1999) noted that “the literature on random effects in generalized linear models is now extensive”, and this is certainly even more true today.

Citation

Einbeck, J., Hinde, J., & Darnell, R. (2007). A new package for fitting random effect models. R news, 7(1), 26-30

Journal Article Type Article
Publication Date Apr 1, 2007
Deposit Date Apr 21, 2016
Publicly Available Date Apr 21, 2016
Journal R news
Publisher R Project for Statistical Computing
Peer Reviewed Peer Reviewed
Volume 7
Issue 1
Pages 26-30
Publisher URL http://www.r-project.org/

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