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mvglmmRank (version 1.2-4)

Multivariate Generalized Linear Mixed Models for Ranking Sports Teams

Description

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.

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Version

Install

install.packages('mvglmmRank')

Monthly Downloads

139

Version

1.2-4

License

GPL-2

Maintainer

Andrew T Karl

Last Published

January 8th, 2023

Functions in mvglmmRank (1.2-4)

nba2013

2013 NBA Data
nfl2012

2012 NFL Regular Season Data
mvglmmRank

mvglmmRank
poisson_cre

Internal Function for Poisson Model
game.pred

Predict outcomes of games.
NB_mov

Internal Function for Normal-Binary Model
binary_cre

Internal function for binary model.
PB_cre

Internal Function for Poisson-binary Model
f2011

2011 FBS College Football Regular Season Data
NB_cre

Internal Function for Normal-Binary Model
N_mov

Internal Function for Normal MOV model
f2010

2010 FBS College Football Regular Season Data
f2008

2008 FBS College Football Regular Season Data
f2012

2012 FBS College Football Regular Season Data
f2009

2009 FBS College Football Regular Season Data
mvglmmRank-package

Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
normal_cre

Internal Function for Normal Model
ncaab2012

2012 NCAA Division I Basketball Results