elo.mse {elo}

Calculate the mean square error

Description

Calculate the mean square error (Brier score) for a model.

Usage

mse(object, ..., subset = TRUE)

brier(object, ..., subset = TRUE)

## S3 method for class 'elo.run'
mse(object, ..., subset = TRUE)

## S3 method for class 'elo.glm'
mse(object, ..., subset = TRUE)

## S3 method for class 'elo.running'
mse(object, running = TRUE, discard.skipped = FALSE, ..., subset = TRUE)

## S3 method for class 'elo.markovchain'
mse(object, ..., subset = TRUE)

## S3 method for class 'elo.winpct'
mse(object, ..., subset = TRUE)

## S3 method for class 'elo.colley'
mse(object, ..., subset = TRUE)

Arguments

object

An object

...

Other arguments (not used at this time).

subset

(optional) A vector of indices on which to calculate

running

logical, denoting whether to use the running predicted values.

discard.skipped

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.