summary.ordinalNetTune: Summary method for an "ordinalNetTune" object.

In ordinalNet: Penalized Ordinal Regression

Summary method for an "ordinalNetTune" object.

Description

Provides a data frame which summarizes the cross validation results and may be useful for selecting an appropriate value for the tuning parameter lambda.

Usage

## S3 method for class 'ordinalNetTune'
summary(object, ...)

Arguments

object	An "ordinalNetTune" S3 object.
...	Not used. Additional summary arguments.

Value

A data frame containing a record for each lambda value in the solution path. Each record contains the following: lambda value, average log-likelihood, average misclassification rate, average Brier score, and average percentage of deviance explained. Averages are taken across all cross validation folds.

See Also

ordinalNetTune

Examples

# See ordinalNetTune() documentation for examples.

ordinalNet documentation built on March 22, 2022, 9:06 a.m.