Einbeck, Jochen and Hinde, John and Darnell, Ross (2007) 'A new package for fitting random effect models.', R news., 7 (1). pp. 26-30.
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.
|Full text:||(VoR) Version of Record|
Download PDF (150Kb)
|Publisher Web site:||http://www.r-project.org/|
|Date accepted:||No date available|
|Date deposited:||21 April 2016|
|Date of first online publication:||April 2007|
|Date first made open access:||No date available|
Save or Share this output
|Look up in GoogleScholar|