elo.mse: Calculate the mean square error

In elo: Ranking Teams by Elo Rating and Comparable Methods

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.

elo documentation built on Aug. 23, 2023, 5:10 p.m.