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### R code from vignette source 'dks.Rnw'
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### code chunk number 1: dks.Rnw:73-77
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library(dks)
library(cubature)
data(dksdata)
dim(P)
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### code chunk number 2: dks1
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dks1 <- dks(P,plot=TRUE)
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### code chunk number 3: pprob
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## Calculate the posterior distribution
delta <- 0.1
dist1 <- pprob.dist(P[,1])
## Plot the posterior distribution
alpha <- seq(0.1,10,by=delta)
beta <- seq(0.1,10,by=delta)
pprobImage = image(log10(alpha),log10(beta),dist1,xaxt="n",yaxt="n",xlab="Alpha",ylab="Beta")
axis(1,at=c(-2,-1,0,1,2),labels=c("10^-2","10^-1","10^0","10^1","10^2"))
axis(2,at=c(-2,-1,0,1,2),labels=c("10^-2","10^-1","10^0","10^1","10^2"))
points(0,0,col="blue",cex=1,pch=19)
###################################################
### code chunk number 4: credSet
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## Calculate a 80% credible set
cred1 <- cred.set(dist1,delta=0.1, level=0.80)
## Plot the posterior and the credible set
alpha <- seq(0.1,10,by=delta)
beta <- seq(0.1,10,by=delta)
credImage=image(log10(alpha),log10(beta),cred1$cred,xaxt="n",yaxt="n",xlab="Alpha",ylab="Beta")
axis(1,at=c(-2,-1,0,1,2),labels=c("10^-2","10^-1","10^0","10^1","10^2"))
axis(2,at=c(-2,-1,0,1,2),labels=c("10^-2","10^-1","10^0","10^1","10^2"))
points(0,0,col="blue",cex=1,pch=19)
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