footBayes: Fitting Bayesian and MLE Football Models
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:
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