Round-robin for football leagues
Description
Posterior predictive probabilities for a football season in a round-robin format
Usage
foot_round_robin(object, data, teams = NULL, output = "both")Arguments
object |
An object either of class |
data |
A data frame containing match data with columns:
|
teams |
An optional character vector specifying team names to include. If |
output |
An optional character string specifying the type of output to return. One of |
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
If output = "both" a list with:
round_table: A data frame of matchups (Home,Away), observed scores, andHome_prob(median posterior probability of a home win).round_plot: Aggplotheatmap of home-win probabilities with observed scores overlaid.
If output = "table" or "plot", returns only that component.
Examples
## Not run:
if (instantiate::stan_cmdstan_exists()) {
library(dplyr)
data("italy")
italy_1999_2000 <- italy %>%
dplyr::select(Season, home, visitor, hgoal, vgoal) %>%
dplyr::filter(Season == "1999" | Season == "2000")
colnames(italy_1999_2000) <- c("periods", "home_team", "away_team", "home_goals", "away_goals")
fit <- stan_foot(italy_1999_2000, "double_pois", predict = 45, iter_sampling = 200)
foot_round_robin(fit, italy_1999_2000)
foot_round_robin(fit, italy_1999_2000, c("Parma AC", "AS Roma"))
}
## End(Not run)