logLik.mlcm

This is a method function for extracting the log likelihood from objects of class &#8216;mlcm&#8217;.

 regression

 models

Conjoint measurement is a psychophysical procedure in which stimulus pairs are presented that vary along 2 or more dimensions and the observer is required to compare the stimuli along one of them. This package contains functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.

Guillermo Aguilar

MLCM

Maximum Likelihood Conjoint Measurement

Ken Knoblauch

logLik.mlcm function

<dl> <dt>object, ...</dt>
<dd>object of class <code>mlcm</code> typically generated by <code>mlcm</code>.</dd></dl>

Arguments

Author

Extract Log-Likelihood from mlcm Object — logLik.mlcm

<dl>

 <dt>object, ...</dt>
<dd>object of class <code>mlcm</code> typically generated by <code>mlcm</code>.</dd>

</dl>

logLik.mlcm: Extract Log-Likelihood from mlcm Object

Description

Usage

Value

Arguments

Author

Details

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Examples