Calculate the mean square error (Brier score) for a model.
mse(object, ..., subset = TRUE)brier(object, ..., subset = TRUE)
# S3 method for elo.run
mse(object, ..., subset = TRUE)
# S3 method for elo.glm
mse(object, ..., subset = TRUE)
# S3 method for elo.running
mse(object, running = TRUE, discard.skipped = FALSE, ..., subset = TRUE)
# S3 method for elo.markovchain
mse(object, ..., subset = TRUE)
# S3 method for elo.winpct
mse(object, ..., subset = TRUE)
# S3 method for elo.colley
mse(object, ..., subset = TRUE)
An object
Other arguments (not used at this time).
(optional) A vector of indices on which to calculate
logical, denoting whether to use the running predicted values.
Logical, denoting whether to ignore the skipped observations in the calculation
Even though logistic regressions don't use the MSE on the y=0/1 scale, it can still be informative.
Note that the S3 method is mse.