This is the first package allowing for the estimation, visualization and prediction of the most well-known football models: double Poisson, bivariate Poisson, Skellam, student_t, diagonal-inflated bivariate Poisson, and zero-inflated Skellam. It supports both maximum likelihood estimation (MLE, for 'static' models only) and Bayesian inference. For Bayesian methods, it incorporates several techniques: MCMC sampling with Hamiltonian Monte Carlo, variational inference using either the Pathfinder algorithm or Automatic Differentiation Variational Inference (ADVI), and the Laplace approximation. The package compiles all the 'CmdStan' models once during installation using the 'instantiate' package. The model construction relies on the most well-known football references, such as Dixon and Coles (1997) <doi:10.1111/1467-9876.00065>, Karlis and Ntzoufras (2003) <doi:10.1111/1467-9884.00366> and Egidi, Pauli and Torelli (2018) <doi:10.1177/1471082X18798414>.
Version: 2.0.0 Depends: R (≥ 4.2.0) Imports: rstan (≥ 2.18.1), instantiate, reshape2, ggplot2, ggridges, matrixStats, extraDistr, metRology, dplyr, tidyr, numDeriv, magrittr, rlang, posterior Suggests: testthat (≥ 3.0.0), knitr (≥ 1.37), rmarkdown (≥ 2.10), loo, bayesplot, cmdstanr (≥ 0.6.0) Published: 2025-05-16 DOI: 10.32614/CRAN.package.footBayes Author: Leonardo Egidi [aut, cre], Roberto Macrì Demartino [aut], Vasilis Palaskas. [aut] Maintainer: Leonardo Egidi <legidi at units.it> BugReports: https://github.com/leoegidi/footbayes/issues License: GPL-2 URL: https://github.com/leoegidi/footbayes NeedsCompilation: yes SystemRequirements: CmdStan (https://mc-stan.org/users/interfaces/cmdstan), pandoc (>= 1.12.3), pandoc-citeproc Additional_repositories: https://stan-dev.r-universe.dev/ Materials: README NEWS In views: SportsAnalytics CRAN checks: footBayes results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=footBayes to link to this page.
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