decomp

Compute the matrices involved in Louis' identity for the observed information matrix

internal

For ordinal rating data, consider the accelerated EM algorithm to estimate and test models within the family of
CUB models (where CUB stands for Combination of a
discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection is then implemented since it becomes more feasible from the computational point of view.

Rosaria Simone

FastCUB

Fast Estimation of CUB Models via Louis' Identity

decomp function

<dl><dt>ttau</dt>
<dd>Vector of posterior probabilities that each observation has been generated by the first mixture component (feeling)</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>m</dt>
<dd>Number of ordered categories</dd>
<dt>param</dt>
<dd>Vector of estimable parameters</dd>
<dt>ai</dt>
<dd>Auxiliary scalars</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></dl>

Arguments

Louis' identity for the observed information matrix of the incomplete problem for CUB models — decomp

<dl>

<dt>ttau</dt>
<dd>Vector of posterior probabilities that each observation has been generated by the first mixture component (feeling)</dd>


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


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


<dt>param</dt>
<dd>Vector of estimable parameters</dd>


<dt>ai</dt>
<dd>Auxiliary scalars</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>

</dl>

decomp: Louis' identity for the observed information matrix of the incomplete problem for CUB models

Description

Usage

Value

Arguments

See Also