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CRAN Package FootBayes

https://cran.r-project.org › package=footBayes
This is the first package allowing for the estimation visualization and prediction of the most well known football

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Fitting Football Models And Visualizing Predictions With The

https://cran.r-project.org › web › packages › footBayes › ...
In this vignette we will learn how to compare models through predictive metrics and information criteria The package is

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Fitting Football Models And Visualizing Predictions With The FootBayes

https://cran.r-project.org › web › packages › footBayes › ...
The footBayes package implements a Bayesian version of the Bradley Terry Davidson model as detailed in Macr

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README The Comprehensive R Archive Network

https://cran.r-project.org › web › packages › footBayes › readme › README.html
The goal of footBayes is to propose a complete workflow to Fit the most well known football models including the double Poisson

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FootBayes Fitting Bayesian And MLE Football Models

https://cran.r-project.org › web › packages › footBayes › ...
The current version of the package allows for the fit of a diagonal inflated bivariate Poisson and a zero inflated Skellam model in the

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Help For Package FootBayes The Comprehensive R Archive Network

https://cran.r-project.org › web › packages › footBayes › refman › footBayes.html
Compares multiple football models or directly provided probability matrices based on specified metrics accuracy Brier score ranked

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The Comprehensive R Archive Network

https://cran.r-project.org › web › packages › footBayes › ...
The footBayes package implements a Bayesian version of the Bradley Terry Davidson model as detailed in

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CRAN Package Packagefinder Cloud r project

https://cloud.r-project.org › web › packages › packagefinder › index.html
Search for R packages on CRAN directly from the R console based on the packages titles short and long

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The Comprehensive R Archive Network

https://cran.r-project.org
CRAN is a network of ftp and web servers around the world that store identical up to date versions of code and

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