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. 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 0.1.0
R ≥ 3.1.0
Published 2022-02-21 468 days ago
Needs compilation? no
License GPL-2
CRAN checks footBayes results

Downloads

Last 24 hours 0 -100%
Last 7 days 51 -18%
Last 30 days 247 +6%
Last 90 days 704 +25%
Last 365 days 2.868 +187%

Maintainer

Maintainer

Leonardo Egidi

legidi@units.it

Authors

Leonardo
Egidi[aut

cre

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

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
engsoccerdata
loo