effecubecsi

Compute the opposite of the scalar function that is maximized when running the
E-M algorithm for CUBE models with covariates only for the feeling component.

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

effecubecsi function

<dl><dt>param</dt>
<dd>Vector of length equal to NCOL(W) + 3 whose entries are the initial parameters estimates</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>W</dt>
<dd>Matrix of the selected covariates for explaining the feeling component</dd>
<dt>m</dt>
<dd>Number of ordinal categories</dd></dl>

Arguments

Auxiliary function for the log-likelihood estimation of CUBE models with covariates
only for the feeling component — effecubecsi

<dl>

<dt>param</dt>
<dd>Vector of length equal to NCOL(W) + 3 whose entries are the initial parameters estimates</dd>


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


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


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

</dl>

effecubecsi: Auxiliary function for the log-likelihood estimation of CUBE models with covariates only for the feeling component

Description

Usage

Arguments