MCMC.Summary: MCMC.Summary

In Zink-Antoine/Gum.Output: Output following Gum supplement 1 (MCMC) and 2 (multivariate)

MCMC.Summary

Description

final quantity presentation (output) MC GUM supplement 2

Usage

MCMC.Summary(output, p, level = TRUE)

Arguments

output	matrix (required) output quantity
p	integer (required) coverage probability
level	logical (with default) if TRUE plot as color-level plot, instead a contour plot (default value =TRUE)

Value

a list object with the following elements

$output.sort

$esp.sort

$dev.sort

$cov.map

$map.p

$low.cov high coverage value

$high.cov low coverage value

Examples

## Not run: 
#
if(dev.cur()!=1) dev.off()
data(TLpan, envir = environment())
Dose<-c(0,0,80,80,80,160,160,160)
df.T<-matrix(rep(seq(26,500),8),475,8)
df.y<-TL.Pan[,1:8]
Pan<-Slice5(Dose,df.T,df.y,n.iter=1000,n.thin=2,inv=TRUE)
#
MCMC.Summary(Pan[,c(4,5)],p=0.95)

## End(Not run)

Zink-Antoine/Gum.Output documentation built on Feb. 23, 2025, 6:27 p.m.