It takes a fitted copulaSampleSel
object produced by copulaSampleSel()
and produces some summaries from it.
# S3 method for copulaSampleSel
summary(object, n.sim = 100, prob.lev = 0.05, ...)
# S3 method for summary.copulaSampleSel
print(x, digits = max(3, getOption("digits") - 3),
signif.stars = getOption("show.signif.stars"), ...)
A fitted copulaSampleSel
object as produced by copulaSampleSel()
.
summary.copulaSampleSel
object produced by summary.copulaSampleSel()
.
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.
Probability of the left and right tails of the posterior distribution used for interval calculations.
Number of digits printed in output.
By default significance stars are printed alongside output.
Other arguments.
Very similar to what obtained when using summary.SemiParBIV()
.
This function is very similar to summary.SemiParBIV()
.
print.summary.copulaSampleSel
prints model term summaries.
# NOT RUN {
## see examples for copulaSampleSel
# }
Run the code above in your browser using DataLab