Package: footBayes
Type: Package
Title: Fitting Bayesian and MLE Football Models
Version: 0.1.0
Date: 2022-02-10
Author: Leonardo Egidi[aut, cre]
Maintainer: Leonardo Egidi <legidi@units.it>
License: GPL-2
Description: 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>.
URL: https://github.com/leoegidi/footbayes
Encoding: UTF-8
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
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
VignetteBuilder: knitr
RoxygenNote: 7.1.2
BuildManual: yes
NeedsCompilation: no
Packaged: 2022-02-18 11:55:46 UTC; leoeg
Repository: CRAN
Date/Publication: 2022-02-21 08:20:05 UTC
Built: R 4.0.5; ; 2022-02-22 12:27:28 UTC; unix
