fitted.mlcm

<code>fitted.mlcm</code> returns the fitted responses from an estimated conjoing measurement scale obtained by <code>mlcm</code>.

 methods 

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

fitted.mlcm function

<dl> <dt>object</dt>
<dd>object of class &#8216;mlcm&#8217;, typically obtained from the output of <code>mlcm</code>.</dd> <dt>...</dt>
<dd>currently ignored</dd></dl>

Arguments

Author

Fitted Responses for a Conjoint Measurement Scale — fitted.mlcm

<dl>

 <dt>object</dt>
<dd>object of class &#8216;mlcm&#8217;, typically obtained from the output of <code>mlcm</code>.</dd>

 <dt>...</dt>
<dd>currently ignored</dd>

</dl>

fitted.mlcm: Fitted Responses for a Conjoint Measurement Scale

Description

Usage

Value

Arguments

Author

References

See Also

Examples