effecube

Define the opposite of the scalar function that is maximized when running the E-M
algorithm for CUBE models without covariates.

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

effecube function

<dl><dt>paravec</dt>
<dd>Vector of initial estimates for the feeling and the overdispersion parameters</dd>
<dt>dati</dt>
<dd>Matrix binding together a column vector of length \(m\) containing the posterior
probabilities that each observed category has been generated by the first component distribution
of the mixture, and the column vector of the absolute frequencies of the observations</dd></dl>

Arguments

Auxiliary function for the log-likelihood estimation of CUBE models without covariates — effecube

<dl>

<dt>paravec</dt>
<dd>Vector of initial estimates for the feeling and the overdispersion parameters</dd>


<dt>dati</dt>
<dd>Matrix binding together a column vector of length \(m\) containing the posterior
probabilities that each observed category has been generated by the first component distribution
of the mixture, and the column vector of the absolute frequencies of the observations</dd>

</dl>

effecube: Auxiliary function for the log-likelihood estimation of CUBE models without covariates

Description

Usage

Arguments

Details

References