loglikihgcov

Compute the log-likelihood function for the IHG model
with covariates to explain 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

loglikihgcov function

<dl><dt>m</dt>
<dd>Number of ordinal categories</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>U</dt>
<dd>Matrix of selected covariates for explaining the preference parameter</dd>
<dt>nu</dt>
<dd>Vector of coefficients for covariates, whose length equals NCOL(U)+1 to include
an intercept term in the model (first entry of nu)</dd></dl>

Arguments

Log-likelihood function for the IHG model with covariates — loglikihgcov

<dl>

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


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


<dt>U</dt>
<dd>Matrix of selected covariates for explaining the preference parameter</dd>


<dt>nu</dt>
<dd>Vector of coefficients for covariates, whose length equals NCOL(U)+1 to include
an intercept term in the model (first entry of nu)</dd>

</dl>

loglikihgcov: Log-likelihood function for the IHG model with covariates

Description

Usage

Arguments

See Also