Multivariate Generalized Linear Mixed Models for Ranking Sports Teams

Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) , Karl, Yang, and Lohr (2014) , and by Karl (2012) . Karl and Zimmerman use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.


Reference manual

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install.packages("mvglmmRank")

1.2-7 by Andrew T. Karl, 18 hours ago


Browse source code at https://github.com/cran/mvglmmRank


Authors: Andrew T. Karl [cre, aut] (ORCID: , Jennifer Broatch [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports numDeriv, methods, stats, utils, MASS

Depends on Matrix

Suggests testthat


See at CRAN