bamPrep: Prepare data for Bayesian Aldrich-McKelvey function

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

Prepare data for Bayesian Aldrich-McKelvey function

Description

Prepares data for the Bayesian Aldrich-McKelvey scaling function (BAM).

Usage

bamPrep(x, nmin=1, missing=NULL, self=1, midpt=NULL)

Arguments

x	A data.frame or matrix containing responses to issue scales to be used as input to the Aldrich-McKelvey model.
nmin	Minimum number of valid responses required to be included in the model.
missing	A vector of values that will be considered missing in addition to NA.
self	Column number containing individual self-placements.
midpt	If NULL (the default), the empirical midpoint of each issue scale is used for centering. Alternatively, you can specify a value in midpt that will be used for centering.

Value

A a list with two components:

stims	issue scale responses for the stimuli
self	Self-placements.

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