summary.bdw: Summary for a MCMC object of class 'bdw'

In BDWreg: Bayesian Inference for Discrete Weibull Regression

Description

This function produces result summaries from a MCMC object of class 'bdw'

Usage

## S3 method for class 'bdw'
summary(object, est = Mode, prob = 0.95, samp = TRUE, ...)

Arguments

object	The object containing the MCMC results of class 'bdw'.
est	The statistic that is used to estimate parameters from marginal densities. The default is 'mode'.
prob	A numerical value in (0 , 1). Corresponding probability for Highest Posterior Density (HPD) interval. If either RJ=TRUE or penalized=TRUE, coefficients are marked as zero if corresponding prob% HPD intervals contain zero.
samp	Logical flag. If TRUE, analyse a sample instead of whole MCMC chain to save time. * enable if object is created by 'bdw.mc' function.
...

Author(s)

Hamed Haselimashhadi <[e-mail]>

See Also

bdw, plot.bdw, bdw.mc

Examples

example(bdw)

BDWreg documentation built on May 2, 2019, 9:31 a.m.