epl_20_21

A data set with the scores of the games played during season 2020-2021 in the English Premier League (EPL)

datasets

Fits a Bayesian Regression Model for multivariate count data. This model assumes that the data is distributed according to the Conway-Maxwell-Poisson distribution, and for each response variable it is associate different covariates. This model allows to account for correlations between the counts by using latent effects based on the Chib and Winkelmann (2001) <http://www.jstor.org/stable/1392277> proposal.

Mauro Florez

MultRegCMP

Bayesian Multivariate Conway-Maxwell-Poisson Regression Model
for Correlated Count Data

epl_20_21 function

A data frame with 380 rows and 4 variables:<dl>
 <dt>HG</dt>
<dd>Goals scored by home team.</dd> <dt>AG</dt>
<dd>Goals scored by away team.</dd> <dt>HomeTeam</dt>
<dd>Home team.</dd> <dt>AwayTeam</dt>
<dd>Away team.</dd>
</dl>

Format

Scores English Premier League Season 2020-2021 — epl_20_21

A data frame with 380 rows and 4 variables:<dl>
 <dt>HG</dt>
<dd>Goals scored by home team.</dd>

 <dt>AG</dt>
<dd>Goals scored by away team.</dd>

 <dt>HomeTeam</dt>
<dd>Home team.</dd>

 <dt>AwayTeam</dt>
<dd>Away team.</dd>


</dl>

epl_20_21: Scores English Premier League Season 2020-2021

Description

Usage

Arguments

Format