foot_round_robin {footBayes}R Documentation

Round-robin for football leagues

Description

Posterior predictive probabilities for a football season in a round-robin format

Usage

foot_round_robin(data, object, team_sel)

Arguments

data

A data frame, or a matrix containing the following mandatory items: home team, away team, home goals, away goals.

object

An object of class stanfit as given by stan_foot function.

team_sel

Selected team(s). By default, all the teams are selected.

Details

For Bayesian models fitted via stan_foot the round-robin table is computed according to the simulation from the posterior predictive distribution of future (out-of-sample) matches. The dataset should refer to one or more seasons from a given national football league (Premier League, Serie A, La Liga, etc.).

Value

Round-robin plot with the home-win posterior probabilities computed from the ppd of the fitted model via the stan_foot function.

Author(s)

Leonardo Egidi legidi@units.it

Examples


## Not run: 
require(dplyr)

data("italy")
italy_1999_2000<- italy %>%
dplyr::select(Season, home, visitor, hgoal,vgoal) %>%
dplyr::filter(Season == "1999"|Season=="2000")

fit <- stan_foot(italy_1999_2000, "double_pois", predict = 45, iter = 200)

foot_round_robin(italy_1999_2000, fit)
foot_round_robin(italy_1999_2000, fit, c("Parma AC", "AS Roma"))


## End(Not run)


[Package footBayes version 0.2.0 Index]