varcovcubeobs

Compute the variance-covariance matrix of parameter estimates for a CUBE model without covariates
as the inverse of the observed information matrix.

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

varcovcubeobs function

<dl><dt>m</dt>
<dd>Number of ordinal categories</dd>
<dt>pai</dt>
<dd>Uncertainty parameter</dd>
<dt>csi</dt>
<dd>Feeling parameter</dd>
<dt>phi</dt>
<dd>Overdispersion parameter</dd>
<dt>freq</dt>
<dd>Vector of the observed absolute frequencies</dd></dl>

Arguments

Variance-covariance matrix for CUBE models based on the observed information matrix — varcovcubeobs

<dl>

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


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


<dt>csi</dt>
<dd>Feeling parameter</dd>


<dt>phi</dt>
<dd>Overdispersion parameter</dd>


<dt>freq</dt>
<dd>Vector of the observed absolute frequencies</dd>

</dl>

varcovcubeobs: Variance-covariance matrix for CUBE models based on the observed information matrix

Description

Usage

Arguments

Details

References

See Also