foot_rank | R Documentation |
Posterior predictive plots and final rank table for football seasons.
foot_rank(object, data, teams = NULL, visualize = "individual")
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 |
visualize |
Type of plots, one among |
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.).
If visualize = "aggregated"
: a list with
rank_table
: A data frame of observed and simulated final points (median, 25%/75% quantiles).
rank_plot
: A ggplot
comparing observed vs simulated final points for each team.
If visualize = "individual"
: A ggplot
showing, for each selected team, the observed and
simulated cumulative points over match‑days.
Leonardo Egidi legidi@units.it and Roberto Macrì Demartino roberto.macridemartino@deams.units.it
## 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", iter_sampling = 200)
foot_rank(fit, italy_1999_2000)
foot_rank(fit, italy_1999_2000, visualize = "individual")
}
## End(Not run)
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