loglikcub00

Compute the log-likelihood function of a CUB model without covariates for a given
absolute frequency distribution.

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

loglikcub00 function

<dl><dt>m</dt>
<dd>Number of ordinal categories</dd>
<dt>freq</dt>
<dd>Vector of the absolute frequency distribution</dd>
<dt>pai</dt>
<dd>Uncertainty parameter</dd>
<dt>csi</dt>
<dd>Feeling parameter</dd></dl>

Arguments

Log-likelihood function of a CUB model without covariates — loglikcub00

<dl>

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


<dt>freq</dt>
<dd>Vector of the absolute frequency distribution</dd>


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


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

</dl>

loglikcub00: Log-likelihood function of a CUB model without covariates

Description

Usage

Arguments