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.


Version 1.2-2: 2018-08-23

- Corrected output of offensive and defensive team ratings when method="N"

Version 1.2-1: 2018-02-12

- Added "" method.

Version 1.2-0: 2017-11-18

- Added "REML.N" argument. 

Version 1.1-2: 2015-11-10

- Changed option method="Richardson" to method="simple" for jacobian function
from package numDeriv

- Changed the sign of the Hessian

- Now reports scaled conditional residuals for models N and NB

Version 1.0-2: 2014-06-22

    - First public release.

Reference manual

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1.2-2 by Andrew T. Karl, 3 years ago

Browse source code at

Authors: Andrew T. Karl (Adsurgo LLC) , Jennifer Broatch (Arizona State University)

Documentation:   PDF Manual  

GPL-2 license

Imports numDeriv, methods, stats, utils, MASS

Depends on Matrix

See at CRAN