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.


News

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 "N.mov" 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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install.packages("mvglmmRank")

1.2-2 by Andrew T. Karl, 8 months ago


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


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