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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. The package allows Hamiltonian Monte Carlo (HMC) estimation through the underlying Stan environment and Maximum Likelihood estimation (MLE, for 'static' models only). 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: | 1.0.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | rstan (≥ 2.18.1), arm, reshape2, ggplot2, ggridges, bayesplot, matrixStats, extraDistr, parallel, metRology, dplyr, tidyr, numDeriv, magrittr, rlang |
| Suggests: | testthat, knitr (≥ 1.37), rmarkdown (≥ 2.10), loo |
| Published: | 2025-01-09 |
| 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> |
| License: | GPL-2 |
| URL: | https://github.com/leoegidi/footbayes |
| NeedsCompilation: | no |
| SystemRequirements: | pandoc (>= 1.12.3), pandoc-citeproc |
| Materials: | NEWS |
| In views: | SportsAnalytics |
| CRAN checks: | footBayes results |
| Reference manual: | footBayes.pdf |
| Package source: | footBayes_1.0.0.tar.gz |
| Windows binaries: | r-devel: footBayes_1.0.0.zip, r-release: footBayes_1.0.0.zip, r-oldrel: footBayes_1.0.0.zip |
| macOS binaries: | r-release (arm64): footBayes_1.0.0.tgz, r-oldrel (arm64): footBayes_1.0.0.tgz, r-release (x86_64): footBayes_1.0.0.tgz, r-oldrel (x86_64): footBayes_1.0.0.tgz |
| Old sources: | footBayes archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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