MainRC

Internal function that implements the Aitchinson-Silvey algorithm to estimate extended RC models.

Maximum likelihood estimation of an extended class of row-column (RC) association models for two-dimensional contingency tables, which are formulated by a condition of reduced rank on a matrix of extended association parameters; see Forcina (2019) <doi:10.48550/arXiv.1910.13848>. These parameters are defined by choosing the logit type for the row and column variables among four different options and a transformation derived from suitable divergence measures.

Francesco Bartolucci

extRC

Extended RC Models for Contingency Tables

Antonio Forcina

MainRC function

<dl> <dt>y</dt>
<dd>row vectorized vector of frequencies of the contingency table</dd> <dt>Model</dt>
<dd>list of model components</dd> <dt>the0</dt>
<dd>initial vector of canonical parameters (optional)</dd> <dt>output</dt>
<dd>to require full output (optional)</dd></dl>

Arguments

Francesco Bartolucci, Antonio Forcina

Author

Estimation of extended RC models — MainRC

<dl>

 <dt>y</dt>
<dd>row vectorized vector of frequencies of the contingency table</dd>

 <dt>Model</dt>
<dd>list of model components</dd>

 <dt>the0</dt>
<dd>initial vector of canonical parameters (optional)</dd>

 <dt>output</dt>
<dd>to require full output (optional)</dd>

</dl>

MainRC: Estimation of extended RC models

Description

Usage

Value

Arguments

Author