cube000

Estimate and validate a CUBE model without covariates.

internal

#models

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

cube000 function

<dl><dt>m</dt>
<dd>Number of ordinal categories</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>starting</dt>
<dd>Vector of initial estimates to start the optimization algorithm,
whose length equals the number of parameters of the model</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>
<dt>expinform</dt>
<dd>Logical: if TRUE, the function returns the expected variance-covariance matrix</dd></dl>

Arguments

Main function for CUBE models without covariates — cube000

<dl>

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


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


<dt>starting</dt>
<dd>Vector of initial estimates to start the optimization algorithm,
whose length equals the number of parameters of the model</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>


<dt>expinform</dt>
<dd>Logical: if TRUE, the function returns the expected variance-covariance matrix</dd>

</dl>

cube000: Main function for CUBE models without covariates

Description

Usage

Value

Arguments

References