Description Usage Arguments Author(s) References Examples
Computes the dispersion-Hodges-Lehmann type variance components.
1 | veedhl(ehat, center)
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ehat |
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center |
Joseph W. McKean
Kloke and McKean (2014), Nonparametrics Using R, Boca Raton: Chapman-Hall.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (ehat, center)
{
numc <- max(center)
hls <- c(0)
ehatp <- ehat
n <- length(ehat)
for (i in 1:numc) {
ehatc <- ehat[center == i]
hls[i] <- hlest(ehatc)
}
reff <- hls
sigb2 <- (pi/3) * ((disp(0, hls, hls, wscores)/numc)^2)
xmat <- model.matrix(~as.factor(center) - 1)
ehatp <- ehat - xmat %*% hls
sige2 <- (pi/3) * ((disp(0, ehatp, ehatp, wscores)/n)^2)
sigt2 <- sigb2 + sige2
rho <- sigb2/sigt2
vc <- c(sigt2, sigb2, sige2, rho)
list(vc = vc, reff = reff)
}
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