cubecov

Function to estimate and validate a CUBE model with
explicative covariates for all the three parameters.

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

cubecov 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>Z</dt>
<dd>Matrix of selected covariates for explaining the overdispersion component</dd>
<dt>starting</dt>
<dd>Vector of initial parameters estimates to start the optimization algorithm
(it has length NCOL(Y) + NCOL(W) + NCOL(Z) + 3 to account for intercept terms
for all the three components</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 CUBE models with covariates — cubecov

<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>Z</dt>
<dd>Matrix of selected covariates for explaining the overdispersion component</dd>


<dt>starting</dt>
<dd>Vector of initial parameters estimates to start the optimization algorithm
(it has length NCOL(Y) + NCOL(W) + NCOL(Z) + 3 to account for intercept terms
for all the three components</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>

cubecov: Main function for CUBE models with covariates

Description

Usage

Value

Arguments

References