predictContinuous

Compute the conditional expectation of a copula-based 2-level hierarchical model for continuous response.

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

predictContinuous function

<dl><dt>object</dt>
<dd>Object of class ``EstContinuous`` generated by EstContinuous.</dd>
<dt>newdata</dt>
<dd>List of variables for be predicted (``clu`` for clusters, ``xc`` for the copula covariates, and ``xm`` for the margins covariates). The covariates can be NULL.</dd>
<dt>nq</dt>
<dd>number of nodes and weighted for Gaussian quadrature of the product of conditional copulas; default is 25.</dd></dl>

Arguments

Pavel Krupskii and Bruno N. Remillard, January 20, 2023

Author

Conditional expectation for a copula-based estimation of mixed regression models for continuous response — predictContinuous

<dl>

<dt>object</dt>
<dd>Object of class ``EstContinuous`` generated by EstContinuous.</dd>


<dt>newdata</dt>
<dd>List of variables for be predicted (``clu`` for clusters, ``xc`` for the copula covariates, and ``xm`` for the margins covariates). The covariates can be NULL.</dd>


<dt>nq</dt>
<dd>number of nodes and weighted for Gaussian quadrature of the product of conditional copulas; default is 25.</dd>

</dl>

predictContinuous: Conditional expectation for a copula-based estimation of mixed regression models for continuous response

Description

Usage

Value

Arguments

Author

References

Examples