CRAN/E | footBayes

footBayes

Fitting Bayesian and MLE Football Models

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

Key Metrics

Version 0.2.0
R ≥ 3.1.0
Published 2023-08-31 242 days ago
Needs compilation? no
License GPL-2
CRAN checks footBayes results

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Maintainer

Maintainer

Leonardo Egidi

legidi@units.it

Authors

Leonardo
Egidi[aut

cre

Vasilis
Palaskas[aut].

Material

NEWS
Reference manual
Package source

In Views

SportsAnalytics

Vignettes

Fitting football models and visualizing predictions with the “'footBayes“' package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

footBayes archive

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