This is an implementation of the Dixon-Coles model for estimating soccer teams' strength from goals scored and conceded:
Dixon, Mark J., and Stuart G. Coles. "Modelling association football scores and inefficiencies in the football betting market." Journal of the Royal Statistical Society: Series C (Applied Statistics) 46, no. 2 (1997): 265-280.
dixoncoles(hgoal, agoal, hteam, ateam, data, weights = 1, ...)
| hgoal | A formula describing the home goals column in `data`, or a numeric vector containing the observed home goals for a set of games. |
|---|---|
| agoal | A formula describing the away goals column in `data`, or a numeric vector containing the observed away goals for a set of games. |
| hteam | A formula describing the home team column in `data`, or a vector containing the home team name for a set of games. |
| ateam | A formula describing the away team column in `data`, or a vector containing the away team name for a set of games. |
| data | Data frame, list or environment (or object coercible by `as.data.frame` to a data frame) containing the variables in the model. |
| weights | A formula describing an expression to calculate the weight for each game. All games weighted equally by default. |
| ... | Arguments passed onto `dixoncoles_ext`. |
A list with component `par` containing the best set of parameters found. See `optim` for details.
fit <- dixoncoles(hgoal, agoal, home, away, data = premier_league_2010)