margins

This function computes the cdf, pdf, and associated derivatives

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

margins function

<dl><dt>z</dt>
<dd>vector of responses</dd>
<dt>th</dt>
<dd>linear combination of covariates (can be negative)</dd>
<dt>model</dt>
<dd>model for margin: "binomial" (bernoulli), "poisson", "nbinom" (mean is the parameter),"nbinom1" (p is the parameter), "geometric", "multinomial", "exponential", "weibull", "normal","t", "laplace"</dd>
<dt>x</dt>
<dd>covariates for the multinomial margin (default is NULL)</dd>
<dt>dfM</dt>
<dd>degrees of freedom for the Student margin (default is NULL)</dd></dl>

Arguments

Pavel Krupskii and Bruno N. Remillard, January 20, 2022

Author

Margins  cdf/pdf and their derivatives — margins

<dl>

<dt>z</dt>
<dd>vector of responses</dd>


<dt>th</dt>
<dd>linear combination of covariates (can be negative)</dd>


<dt>model</dt>
<dd>model for margin: "binomial" (bernoulli), "poisson", "nbinom" (mean is the parameter),"nbinom1" (p is the parameter), "geometric", "multinomial", "exponential", "weibull", "normal","t", "laplace"</dd>


<dt>x</dt>
<dd>covariates for the multinomial margin (default is NULL)</dd>


<dt>dfM</dt>
<dd>degrees of freedom for the Student margin (default is NULL)</dd>

</dl>

margins: Margins cdf/pdf and their derivatives

Description

Usage

Value

Arguments

Author

Examples