loglikcubpq

Compute the log-likelihood function of a CUB model fitting ordinal data
with covariates for explaining both the feeling and the uncertainty components.

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

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

Arguments

Log-likelihood function of a CUB model with covariates for both feeling and uncertainty — loglikcubpq

<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>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 bbet)</dd>


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

</dl>

loglikcubpq: Log-likelihood function of a CUB model with covariates for both feeling and uncertainty

Description

Usage

Arguments