summary.copulaSampleSel: copulaSampleSel summary

In SemiParBIVProbit: Semiparametric Copula Regression Models

Description

It takes a fitted copulaSampleSel object produced by copulaSampleSel() and produces some summaries from it.

Usage

## S3 method for class 'copulaSampleSel'
summary(object, n.sim = 100, prob.lev = 0.05, ...)
  
## S3 method for class 'summary.copulaSampleSel'
print(x, digits = max(3, getOption("digits") - 3), 
           signif.stars = getOption("show.signif.stars"), ...)  
  

Arguments

object	A fitted copulaSampleSel object as produced by copulaSampleSel().
x	summary.copulaSampleSel object produced by summary.copulaSampleSel().
n.sim	The number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used to calculate intervals for the association parameter, dispersion coefficient, for instance It may be increased if more precision is required.
prob.lev	Probability of the left and right tails of the posterior distribution used for interval calculations.
digits	Number of digits printed in output.
signif.stars	By default significance stars are printed alongside output.
...	Other arguments.

Details

This function is very similar to summary.SemiParBIVProbit().

print.summary.copulaSampleSel prints model term summaries.

Value

Very similar to what obtained when using summary.SemiParBIVProbit().

Author(s)

Maintainer: Giampiero Marra [e-mail]

See Also

plot.SemiParBIVProbit, predict.SemiParBIVProbit

Examples

## see examples for copulaSampleSel

SemiParBIVProbit documentation built on June 20, 2017, 9:03 a.m.