plot.bdw: Plot a MCMC object of class 'bdw'

Description Usage Arguments Author(s) See Also Examples

View source: R/bayesian.dw.R

Description

This function generates several diagnostics plots from a MCMC object of class 'bdw'

Usage

1
2
3
## S3 method for class 'bdw'
plot(x, est = Mode, prob = 0.95, adj = 2, r.outliers = TRUE,
density = FALSE, exc.tun = FALSE, ...)

Arguments

x

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.

adj

A positive value. Measure of smoothness for densities. A higher value results in smoother density plots.

r.outliers

Logical flag. If TRUE, a preprocessing procedure removes the outliers before showing the results.

density

Logical flag. If TRUE, a density plot accompanies the HPD intervals.

exc.tun

Logical flag. If TRUE and penalized=TRUE, the penalty parameter is excluded from the plots.

...

Author(s)

Hamed Haselimashhadi <[email protected]>

See Also

bdw, summary.bdw, bdw.mc

Examples

1

BDWreg documentation built on May 30, 2017, 12:31 a.m.