# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mvglmmRank" in publications use:' type: software license: GPL-2.0-only title: 'mvglmmRank: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams' version: 1.2-5 identifiers: - type: doi value: 10.32614/CRAN.package.mvglmmRank abstract: 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. authors: - family-names: Karl given-names: Andrew T. email: akarl@asu.edu orcid: https://orcid.org/0000-0002-5933-8706 - family-names: Broatch given-names: Jennifer preferred-citation: type: manual title: 'mvglmmRank: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams' authors: - family-names: Karl given-names: Andrew T. email: akarl@asu.edu orcid: https://orcid.org/0000-0002-5933-8706 - family-names: Broatch given-names: Jennifer year: '2026' notes: R package version 1.2-5 repository: https://cran.r-universe.dev commit: ab16effe7601d9247c4ac46723b7c12fa01ee22f date-released: '2026-06-08' contact: - family-names: Karl given-names: Andrew T. email: akarl@asu.edu orcid: https://orcid.org/0000-0002-5933-8706 references: - type: article title: Multivariate Generalized Linear Mixed Models for Joint Estimation of Sporting Outcomes authors: - family-names: Broatch given-names: Jennifer E. - family-names: Karl given-names: Andrew T. journal: Italian Journal of Applied Statistics year: '2018' volume: '30' issue: '2' notes: Also available from https://arxiv.org/abs/1710.05284 start: 189-211