foot_rank {footBayes} | R Documentation |
Rank and points predictions
Description
Posterior predictive plots and final rank table for football seasons.
Usage
foot_rank(
object,
data,
teams = NULL,
visualize = c("aggregated", "individual")
)
Arguments
object |
An object of class |
data |
A data frame containing match data with columns:
|
teams |
An optional character vector specifying team names to include. If |
visualize |
Type of plot, default is |
Details
For Bayesian models fitted via stan_foot
the final rank tables are 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
Final rank tables and plots with the predicted points for the selected teams as given by the models fitted via the stan_foot
function.
Author(s)
Leonardo Egidi legidi@units.it
Examples
## Not run:
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", iter = 200)
foot_rank(fit, italy_1999_2000)
foot_rank(fit, italy_1999_2000, visualize = "individual")
## End(Not run)