summary.SemiParROY: SemiParROY summary

In GJRM: Generalised Joint Regression Modelling

SemiParROY summary

Description

It takes a fitted SemiParROY object and produces some summaries from it.

Usage

## 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.

Author(s)

Maintainer: Giampiero Marra [e-mail]

Examples

## see examples for gjrm

GJRM documentation built on July 9, 2023, 7:15 p.m.