Installation
About
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.
github.com/leoegidi/footbayes | |
System requirements | pandoc (>= 1.12.3), pandoc-citeproc |
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