summary.copulaSampleSel: copulaSampleSel summary

Description

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

Usage

"summary"(object, n.sim = 100, prob.lev = 0.05, cm.plot = FALSE,  xlim = c(-3, 3), ylim = c(-3, 3),  ylab = "Margin 2", xlab = "Margin 1",  n.grid = 1000, n.dig = 2, ...) 
"print"(x, digits = max(3, getOption("digits") - 3),  signif.stars = getOption("show.signif.stars"), ...)

Arguments

object

A fitted copulaSampleSel object as produced by copulaSampleSel().

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.

cm.plot

If TRUE then a filled bivariate contour meta plot corresponding to the assumed (estimated) bivariate model is produced.

xlim, ylim

Limits of the bivariate contour meta plot.

ylab, xlab

Labels for the bivariate contour meta plot.

n.grid

Number of grid points used in contour plot construction. This is relevant for the continuous margin.

n.dig

Number of digit points used in rounding bivariate pdf values for contour plot construction. This is relevant for the continuous margin.

digits

Number of digits printed in output.

signif.stars

By default significance stars are printed alongside output.

...

Other graphics parameters to pass on to plotting commands. These are used only when cm.plot=TRUE.

Value

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

Details

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

print.summary.copulaSampleSel prints model term summaries.

Examples

Run this code

## see examples for copulaSampleSel