qcondfgm

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

qcondfgm function

<dl><dt>w</dt>
<dd>probability</dd>
<dt>v</dt>
<dd>value of the conditioning variable in (0,1)</dd>
<dt>th</dt>
<dd>copula parameter -1&lt;=th&lt;=1</dd></dl>

Arguments

Inverse  FGM (B10) — qcondfgm

<dl>

<dt>w</dt>
<dd>probability</dd>


<dt>v</dt>
<dd>value of the conditioning variable in (0,1)</dd>


<dt>th</dt>
<dd>copula parameter -1&lt;=th&lt;=1</dd>

</dl>

qcondfgm: Inverse FGM (B10)

Description

Usage

Value

Arguments