cubpq

Estimate and validate a CUB model for given ordinal responses, with covariates for explaining both the
feeling and the uncertainty components by means of logistic transform.

internal

For ordinal rating data, estimate and test models within the family of CUB models and their extensions (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions); Simulation routines, plotting facilities and fitting measures are also provided.

Rosaria Simone

A Class of Mixture Models for Ordinal Data

Maria Iannario

Domenico Piccolo

cubpq function

<dl><dt>m</dt>
<dd>Number of ordinal categories</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>Y</dt>
<dd>Matrix of selected covariates for explaining the uncertainty component</dd>
<dt>W</dt>
<dd>Matrix of selected covariates for explaining the feeling component</dd>
<dt>maxiter</dt>
<dd>Maximum number of iterations allowed for running the optimization algorithm</dd>
<dt>toler</dt>
<dd>Fixed error tolerance for final estimates</dd></dl>

Arguments

Main function for CUB models with covariates for both the uncertainty and the feeling components — cubpq

<dl>

<dt>m</dt>
<dd>Number of ordinal categories</dd>


<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>


<dt>Y</dt>
<dd>Matrix of selected covariates for explaining the uncertainty component</dd>


<dt>W</dt>
<dd>Matrix of selected covariates for explaining the feeling component</dd>


<dt>maxiter</dt>
<dd>Maximum number of iterations allowed for running the optimization algorithm</dd>


<dt>toler</dt>
<dd>Fixed error tolerance for final estimates</dd>

</dl>

cubpq: Main function for CUB models with covariates for both the uncertainty and the feeling components

Description

Usage

Value

Arguments

References

See Also