summary.autoMrP: A summary method for autoMrP objects.

In autoMrP: Improving MrP with Ensemble Learning

A summary method for autoMrP objects.

Description

summary.autoMrP() ...

Usage

## S3 method for class 'autoMrP'
summary(
  object,
  ci.lvl = 0.95,
  digits = 4,
  format = "simple",
  classifiers = NULL,
  n = 10,
  ...
)

Arguments

object	An autoMrP() object for which a summary is desired.
ci.lvl	The level of the confidence intervals. A proportion. Default is 0.95. Confidence intervals are based on bootstrapped estimates and will not be printed if bootstrapping was not carried out.
digits	The number of digits to be displayed. An integer scalar. Default is 4.
format	The table format. A character string passed to kable. Default is simple.
classifiers	Summarize a single classifier. A character string. Must be one of best_subset, lasso, pca, gb, svm, or mrp. Default is NULL.
n	Number of rows to be printed. An integer scalar. Default is 10.
...	Additional arguments affecting the summary produced.

Value

No return value, prints a summary of the context level preference estimates to the console.

autoMrP documentation built on May 29, 2024, 6:40 a.m.