plot.autoMrP: A plot method for autoMrP objects. Plots unit-level...

In autoMrP: Improving MrP with Ensemble Learning

A plot method for autoMrP objects. Plots unit-level preference estiamtes.

Description

plot.autoMrP() plots unit-level preference estimates and error bars.

Usage

## S3 method for class 'autoMrP'
plot(x, algorithm = "ebma", ci.lvl = 0.95, ...)

Arguments

x	An autoMrP() object.
algorithm	The algorithm/classifier fo which preference estimates are desired. A character-valued scalar indicating either ebma or the classifier to be used. Allowed choices are: "ebma", "best_subset", "lasso", "pca", "gb", "svm", and "mrp". Default is ebma.
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.
...	Additional arguments affecting the summary produced.

Value

Returns a ggplot2 object of the preference estimates for the selected classifier.

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