predictDiscrete {CopulaGAMM}

Conditional expectation for a copula-based estimation of mixed regression models for discrete response

Description

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

Usage

predictDiscrete(object, newdata, m = 100)

Arguments

object

Object of class “EstDiscrete“ generated by EstDiscrete.

newdata

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.

m

Number of points for the numerical integration (default is 100).

Value

mest

Conditional expectations (conditional probabilities for the multinomial case

Author(s)

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

References

Krupskii, Nasri & Remillard (2023). On factor copula-based mixed regression models

Examples

data(out.poisson)
newdata = list(clu=c(1:50),xc=rep(0.2,50),xm=rep(0.5,50))
pred= predictDiscrete(out.poisson,newdata,m=100)