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# From:
# Richard Valliant and George Zipf (2023). PracTools: Designing and
# Weighting Survey Samples. R package version 1.4.2.
# https://CRAN.R-project.org/package=PracTools
# Kish design effect
# Kish design effect due to unequal weights
# w: vector of inverses of selection probabilities for a sample
# deffK = function (w)
deffK = function(prob)
{
w = 1 / prob
assert_that(all(w > 0), all(w < Inf))
# if (any(w <= 0))
# warning("Some weights are less than or equal to 0.\n")
# n <- length(w)
# ret = 1 + sum((w - mean(w))^2)/n/mean(w)^2
ret = 1 + mean((w - mean(w))^2)/mean(w)^2
# assert_that(all(ret > 0))
assert_that(all(ret >= 1)) # Second term >= 0
ret
}
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