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. 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:	0.2.0
Depends:	R (≥ 3.1.0)
Imports:	rstan (≥ 2.18.1), arm, reshape2, ggplot2, bayesplot, matrixStats, extraDistr, parallel, metRology, dplyr, numDeriv, tidyverse, magrittr
Suggests:	testthat, knitr (≥ 1.37), rmarkdown (≥ 2.10), loo
Published:	2023-08-31
Author:	Leonardo Egidi[aut, cre], 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

Documentation:

Reference manual:	footBayes.pdf
Vignettes:	Fitting football models and visualizing predictions with the “'footBayes“' package

Downloads:

Package source:	footBayes_0.2.0.tar.gz
Windows binaries:	r-devel: footBayes_0.2.0.zip, r-release: footBayes_0.2.0.zip, r-oldrel: footBayes_0.2.0.zip
macOS binaries:	r-release (arm64): footBayes_0.2.0.tgz, r-oldrel (arm64): footBayes_0.2.0.tgz, r-release (x86_64): footBayes_0.2.0.tgz, r-oldrel (x86_64): footBayes_0.2.0.tgz
Old sources:	footBayes archive

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