A generic Dixon-Coles model for estimating team strengths

Source: R/dixoncoles.R

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.

By specifying the model as a pair of formulas, it allows the user to estimate the effect of parameters beyond team strength.

dixoncoles_ext(f1, f2, weights, data, init = NULL, ...)

Arguments

f1

A formula describing the model for home goals.
f2

A formula describing the model for away goals.
weights

A formula describing an expression to calculate the weight for each game.
data

Data frame, list or environment (or object coercible by `as.data.frame` to a data frame) containing the variables in the model.
init

Initial parameter values. If it is `NULL`, 0 is used for all values.
...

Arguments passed onto `optim`.

Value

A list with component `par` containing the best set of parameters found. See `optim` for details.

Examples

fit <- dixoncoles_ext(hgoal ~ off(home) + def(away) + hfa + 0,
                      agoal ~ off(away) + def(home) + 0,
                      weights = 1,  # All games weighted equally
                      data = premier_league_2010)