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# file MASS/R/hubers.R
# copyright (C) 1994-9 W. N. Venables and B. D. Ripley
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 or 3 of the License
# (at your option).
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
#
hubers <- function(y, k = 1.5, mu, s, initmu = median(y), tol = 1.0e-6)
{
mmu <- missing(mu); ms <- missing(s)
y <- y[!is.na(y)]
n <- length(y)
if(mmu) {
mu0 <- initmu
n1 <- n - 1
} else {
mu0 <- mu
mu1 <- mu
n1 <- n
}
if(ms) { # middle 50% of data is constant
s0 <- mad(y)
if(s0 == 0.0) return(list(mu=mu0, s = 0))
} else {s0 <- s;s1 <- s}
th <- 2*pnorm(k)-1
beta <- th + k^2*(1-th) - 2*k*dnorm(k)
for(i in 1:30) { # avoid infinite loop
yy <- pmin(pmax(mu0-k*s0,y), mu0+k*s0)
if(mmu) mu1 <- sum(yy)/n
if(ms) {
ss <- sum((yy-mu1)^2)/n1
s1 <- sqrt(ss/beta)
}
if((abs(mu0-mu1) < tol*s0) && abs(s0-s1) < tol*s0) break
mu0 <- mu1; s0 <- s1
}
list(mu=mu0, s=s0)
}
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