summary.nmix: Summary for Bayesian Inference on Univariate Normal Mixtures

In Nmix: Bayesian Inference on Univariate Normal Mixtures

Summary for Bayesian Inference on Univariate Normal Mixtures

Description

Printing of various information from nmix object on current output

Usage

## S3 method for class 'nmix'
summary(object, ...) 

Arguments

object	nmix object, as output by Nmix function
...	additional arguments to summary

Details

Currently the information printed consists of the estimated posterior for k and basic parameters of the MCMC simulation: number of sweeps, length of burnin, random number seed to replicate the run, and confirmation of which MCMC moves used, and acceptance statistics for each type of trans-dimensional move.

Value

object, invisibly; summary method for class nmix. Function called for its side effect of printing selected information from object

Author(s)

Peter J. Green

References

Richardson and Green (J. R. Statist. Soc. B, 1997, 59, 731-792; see also the correction in J. R. Statist. Soc. B, 1998, 60, 661)

Examples

data(galx)
z<-Nmix('galx',nsweep=10000,nburnin=1000,out="d")
summary(z)

Nmix documentation built on Sept. 20, 2023, 1:06 a.m.