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mvglmmRank: 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) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.
Getting started
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Package details |
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| Author | Andrew T. Karl [cre, aut] (<https://orcid.org/0000-0002-5933-8706>), Jennifer Broatch [aut] |
| Maintainer | Andrew T. Karl <akarl@asu.edu> |
| License | GPL-2 |
| Version | 1.2-4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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