loglikcubecov

Compute the log-likelihood function of a CUBE model for ordinal responses,
with covariates for explaining 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

loglikcubecov 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 covariates for explaining the uncertainty component</dd>
<dt>W</dt>
<dd>Matrix of covariates for explaining the feeling component</dd>
<dt>Z</dt>
<dd>Matrix of covariates for explaining the overdispersion component</dd>
<dt>bet</dt>
<dd>Vector of parameters for the uncertainty component, with length equal to
NCOL(Y) + 1 to account for an intercept term (first entry of bet)</dd>
<dt>gama</dt>
<dd>Vector of parameters for the feeling component, with length equal to
NCOL(W) + 1 to account for an intercept term (first entry of gama)</dd>
<dt>alpha</dt>
<dd>Vector of parameters for the overdispersion component, with length equal to
NCOL(Z) + 1 to account for an intercept term (first entry of alpha)</dd></dl>

Arguments

Log-likelihood function of a CUBE model with covariates — loglikcubecov

<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 covariates for explaining the uncertainty component</dd>


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


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


<dt>bet</dt>
<dd>Vector of parameters for the uncertainty component, with length equal to
NCOL(Y) + 1 to account for an intercept term (first entry of bet)</dd>


<dt>gama</dt>
<dd>Vector of parameters for the feeling component, with length equal to
NCOL(W) + 1 to account for an intercept term (first entry of gama)</dd>


<dt>alpha</dt>
<dd>Vector of parameters for the overdispersion component, with length equal to
NCOL(Z) + 1 to account for an intercept term (first entry of alpha)</dd>

</dl>

loglikcubecov: Log-likelihood function of a CUBE model with covariates

Description

Usage

Arguments