hdrcde (version 3.4)

hdrconf: HDRs with confidence intervals

Description

Calculates Highest Density Regions with confidence intervals.

Usage

hdrconf(x, den, prob = 95, conf = 95)

Arguments

x

Numeric vector containing data.

den

Density of data as list with components x and y.

prob

Probability coverage for for HDRs.

conf

Confidence for limits on HDR.

Value

hdrconf returns list containing the following components:

hdr

Highest density regions

hdr.lo

Highest density regions corresponding to lower confidence limit.

hdr.hi

Highest density regions corresponding to upper confidence limit.

falpha

Values of \(f_\alpha\) corresponding to HDRs.

falpha.ci

Values of \(f_\alpha\) corresponding to lower and upper limits.

References

Hyndman, R.J. (1996) Computing and graphing highest density regions American Statistician, 50, 120-126.

See Also

hdr, plot.hdrconf

Examples

# NOT RUN {
x <- c(rnorm(100,0,1),rnorm(100,4,1))
den <- density(x,bw=hdrbw(x,50))
trueden <- den
trueden$y <- 0.5*(exp(-0.5*(den$x*den$x)) + exp(-0.5*(den$x-4)^2))/sqrt(2*pi)
sortx <- sort(x)

par(mfcol=c(2,2))
for(conf in c(50,95))
{
  m <- hdrconf(sortx,trueden,conf=conf)
  plot(m,trueden,main=paste(conf,"% HDR from true density"))
  m <- hdrconf(sortx,den,conf=conf)
  plot(m,den,main=paste(conf,"% HDR from empirical density\n(n=200)"))
}
# }