dfgm

Estimation of 2-level factor copula-based regression models  for clustered data where the response variable can be either discrete or continuous.

Bruno Remillard

CopulaGAMM

Copula-Based Mixed Regression Models

Pavel Krupskii

dfgm function

<dl><dt>u</dt>
<dd>vector of values in (0,1)</dd>
<dt>v</dt>
<dd>vector of values in (0,1)</dd>
<dt>cpar</dt>
<dd>copula parameter &gt; 0</dd></dl>

Arguments

Author

Farlie-Gumbel-Morgenstern copula density, -1&lt;= cpar&lt;= — dfgm

<dl>

<dt>u</dt>
<dd>vector of values in (0,1)</dd>


<dt>v</dt>
<dd>vector of values in (0,1)</dd>


<dt>cpar</dt>
<dd>copula parameter &gt; 0</dd>

</dl>

dfgm: Farlie-Gumbel-Morgenstern copula density, -1<= cpar<=

Description

Usage

Value

Arguments

Author

Examples