It takes a fitted SemiParROY object and produces some summaries from it.
## S3 method for class 'SemiParROY'summary(object, n.sim =100, prob.lev =0.05,...)## S3 method for class 'summary.SemiParROY'print(x, digits = max(3, getOption("digits")-3), signif.stars = getOption("show.signif.stars"),...)
Arguments
object: A fitted SemiParROY object.
x: summary.SemiParROY object produced by summary.SemiParROY().
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
print.summary.SemiParROY prints model term summaries.