prediction_interval: Point estimate function and confidence intervals for football...
In Niklas191/amateuR: Prediction for amateur German football outcomes

Description Usage Arguments Value Examples

This function returns point estimates and a confidence interval for the number of home and away goals scored in a match.

1	prediction_interval(data, estimate, teamname, method = "future")

`data`	Output of `all_game_data` with parameter `team = NA`
`estimate`	Output of `estimate_params` using the same data
`teamname`	The name of the team of interest as a string
`method`	Optional parameter which takes the values `"all"`, `"past"` or `"future"` to filter predictions

A description of the columns of prediction data frames, upcoming and future:

`Home L`	Lower bound of confidence interval for the predicted number of goals scored by the home team
`Home Estimate`	Prediction of the number of goals scored by the home team, rounded to one decimal point
`Home U`	Upper bound of confidence interval for the predicted number of goals scored by the home team

`Away L`	Lower bound of confidence interval for the predicted number of goals scored by the away team
`Away Estimate`	Prediction of the number of goals scored by the away team, rounded to nearest integer
`Away U`	Upper bound of confidence interval for the predicted number of goals scored by the away team

`Note H`	The number of stars indicate the width of the confidence interval for the home team. The more stars the larger the interval
`Note A`	The number of stars indicate the width of the confidence interval for the away team. The more stars the larger the interval
`Predicted result`	Home and away intervals are compared and H,D,A is returned based on the prediction
`Final Score`	For a completed match the final full time score is given here

my_games <- all_game_data(amateuR::kreisliga_goettingen)
estimate <- estimate_params(data = my_games, alpha = 0.9)

prediction_interval(
  data = my_games, estimate = estimate,
  teamname = "RSV Göttingen 05", method = "all"
)