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)

## Arguments

object 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

## Details

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.