effeihgcov

Compute the opposite of the log-likelihood function for an IHG model with covariates
for the preference parameter.

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

effeihgcov function

<dl><dt>nu</dt>
<dd>Vector of the starting values for the parameters to be estimated, with length equal to
NCOL(U)+1 to account for an intercept term (first entry of \(nu\))</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>U</dt>
<dd>Matrix of the explanatory variables for the preference parameter \(\theta\)</dd>
<dt>m</dt>
<dd>Number of ordinal categories</dd></dl>

Arguments

Auxiliary function for the log-likelihood estimation of IHG models with covariates — effeihgcov

<dl>

<dt>nu</dt>
<dd>Vector of the starting values for the parameters to be estimated, with length equal to
NCOL(U)+1 to account for an intercept term (first entry of \(nu\))</dd>


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


<dt>U</dt>
<dd>Matrix of the explanatory variables for the preference parameter \(\theta\)</dd>


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

</dl>

effeihgcov: Auxiliary function for the log-likelihood estimation of IHG models with covariates

Description

Usage

Arguments

Details