summary.fastCUB

An object of class <code><a rd-options="" href="/link/fastCUB?package=FastCUB&version=0.0.2" data-mini-rdoc="FastCUB::fastCUB">fastCUB</a></code>

object

Logical: should the estimated correlation matrix be returned? Default is FALSE

correlation

A vector of character for names to be assigned to estimated parameters

pnames

S3 method summary for objects of class <code>fastCUB</code>.

package

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

summary.fastCUB function

<dl><dt>object</dt>
<dd>An object of class <code>fastCUB</code></dd>
<dt>correlation</dt>
<dd>Logical: should the estimated correlation matrix be returned? Default is FALSE</dd>
<dt>pnames</dt>
<dd>A vector of character for names to be assigned to estimated parameters</dd>
<dt>...</dt>
<dd>Other arguments</dd></dl>

Arguments

S3 method: summary for class "fastCUB" — summary.fastCUB

<dl>

<dt>object</dt>
<dd>An object of class <code>fastCUB</code></dd>


<dt>correlation</dt>
<dd>Logical: should the estimated correlation matrix be returned? Default is FALSE</dd>


<dt>pnames</dt>
<dd>A vector of character for names to be assigned to estimated parameters</dd>


<dt>...</dt>
<dd>Other arguments</dd>

</dl>

summary.fastCUB: S3 method: summary for class "fastCUB"

Description

Usage

Value

Arguments