Package: mvglmmRank
Type: Package
Title: Multivariate Generalized Linear Mixed Models for Ranking Sports
        Teams
Version: 1.2-4
Depends: R (>= 3.2.0), Matrix
Imports: numDeriv, methods, stats, utils, MASS
Date: 2023-01-06
Authors@R: 
    c(person(given = c("Andrew","T."),
             family = "Karl",
			 email="akarl@asu.edu",
			   role = c("cre", "aut"),
             comment = c(ORCID = "0000-0002-5933-8706")),
      person(given = "Jennifer",
             family = "Broatch",
			   role = c( "aut"),
             ))
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) <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. 
ByteCompile: yes
LazyLoad: yes
LazyData: yes
License: GPL-2
NeedsCompilation: no
Packaged: 2023-01-07 02:53:54 UTC; andre
Author: Andrew T. Karl [cre, aut] (<https://orcid.org/0000-0002-5933-8706>),
  Jennifer Broatch [aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>
Repository: CRAN
Date/Publication: 2023-01-08 00:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:21:49 UTC; unix
