chi2cub2cov

Compute the \(X^2\) statistic of Pearson for the goodness of fit of a CUB model for ordinal responses, where the feeling parameter
is explained via a logistic transform of the only discrete covariate. It groups ratings in
classes according to the values of the covariate.

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

chi2cub2cov function

<dl><dt>m</dt>
<dd>Integer: number of ordinal categories</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>covar1</dt>
<dd>Vector of the first covariate values for explaining the feeling component</dd>
<dt>covar2</dt>
<dd>Vector of the second covariate values for explaining the feeling component</dd>
<dt>pai</dt>
<dd>Uncertainty parameter</dd>
<dt>gama</dt>
<dd>Vector of parameters for the feeling component, with length equal to 2
to account for an intercept term (first entry)</dd></dl>

Arguments

Pearson \(X^2\) statistic  for CUB models with one discrete covariate for feeling — chi2cub2cov

<dl>

<dt>m</dt>
<dd>Integer: number of ordinal categories</dd>


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


<dt>covar1</dt>
<dd>Vector of the first covariate values for explaining the feeling component</dd>


<dt>covar2</dt>
<dd>Vector of the second covariate values for explaining the feeling component</dd>


<dt>pai</dt>
<dd>Uncertainty parameter</dd>


<dt>gama</dt>
<dd>Vector of parameters for the feeling component, with length equal to 2
to account for an intercept term (first entry)</dd>

</dl>

chi2cub2cov: Pearson \(X^2\) statistic for CUB models with one discrete covariate for feeling

Description

Usage

Value

Arguments

References