loglikcub0q

ordinal

Matrix of selected covariates for explaining the feeling component

Logit transform of uncertainty parameter

beta0

Vector of parameters for the feeling component, with length NCOL(W) + 1 to account for 
an intercept term (first entry of gama)

gama

Compute the log-likelihood function of a CUB model fitting ordinal data, with \(q\) 
covariates for explaining the feeling component.

internal

For ordinal rating data, consider the accelerated Expectation-Maximization 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 for CUB regression models is then implemented on such basis. The methods here implemented are illustrated and discussed in the preprint available from Researchgate by Simone R. (2020) <https://tinyurl.com/vvk563e>.

Rosaria Simone

FastCUB

Fast EM and Best-Subset Selection for CUB Models for Rating Data

loglikcub0q function

<dl><dt>m</dt>
<dd>Number of ordinal categories</dd>
<dt>ordinal</dt>
<dd>Vector of ordinal responses</dd>
<dt>W</dt>
<dd>Matrix of selected covariates for explaining the feeling component</dd>
<dt>beta0</dt>
<dd>Logit transform of uncertainty parameter</dd>
<dt>gama</dt>
<dd>Vector of parameters for the feeling component, with length NCOL(W) + 1 to account for 
an intercept term (first entry of gama)</dd></dl>

Arguments

Log-likelihood function of a CUB model with covariates for the feeling component — loglikcub0q

<dl>

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


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


<dt>W</dt>
<dd>Matrix of selected covariates for explaining the feeling component</dd>


<dt>beta0</dt>
<dd>Logit transform of uncertainty parameter</dd>


<dt>gama</dt>
<dd>Vector of parameters for the feeling component, with length NCOL(W) + 1 to account for 
an intercept term (first entry of gama)</dd>

</dl>

loglikcub0q: Log-likelihood function of a CUB model with covariates for the feeling component

Description

Usage

Arguments