boot.aldmck: Bootstrapping Aldrich-McKelvey Scaling Model

In davidaarmstrong/asmcjr: Analyzing Spatial Models of Choice and Judgment with R

Bootstrapping Aldrich-McKelvey Scaling Model

Description

A wrapper to boot that applies bootstrap resampling to the Aldrich-McKelvey Scaling model.

Usage

boot.aldmck(data, ..., boot.args = list(), plot = FALSE)

Arguments

data	A data frame or matrix containing the data to be used in the Aldrich-McKelvey scaling.
...	Arguments to be passed down to the aldmck function.
boot.args	A list of arguments to be passed down to the boot function.
plot	Logical indicating whether a dot-plot of the result should be printed.

Value

A list with two elements:

sumstats	A data frame with the ideal points, standard deviations as well as lower and upper 95 percent confidence bounds of the stimului.
bootres	The result from the bootstrap

See Also

aldmck

davidaarmstrong/asmcjr documentation built on June 29, 2024, 12:07 p.m.