Description Usage Arguments Details Value References Examples
Approximates the probability that a maximally selected rank statistic is
greater or equal to b
.
1 2 |
b |
quantile. |
p |
probability. |
minprop |
at least |
maxprop |
not more than |
Large sample approximation by Miller and Siegmund (1982) based on a Brownian bridge, cf. Lausen and Schumacher (1992).
The probability that, under the hypothesis of independence, a maximally
selected statistic greater equal b
is observed.
Miller, R. and Siegmund, D. (1982), Maximally Selected Chi Square Statistics. Biometrics, 38, 1011–1016
Lausen, B. and Schumacher, M. (1992), Maximally Selected Rank Statistics. Biometrics, 48, 73–85
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 | # Compute quantiles. Should be equal to Table 2 in Lausen and Schumacher
load(file.path(system.file(package = "maxstat"), "results", "LausenTab2.rda"))
a <- rev(c(0.01, 0.025, 0.05, 0.1))
prop <- rbind(c(0.25, 0.75), c(0.4, 0.6), c(0.1, 0.9), c(0.4, 0.9))
Quant <- matrix(rep(0, length(a)*nrow(prop)), nrow=length(a))
for (i in 1:length(a)) {
for (j in 1:nrow(prop)) {
Quant[i,j] <- qLausen92(a[i], minprop=prop[j,1], maxprop=prop[j,2])
}
}
Quant <- round(Quant, 3)
rownames(Quant) <- a
colnames(Quant) <- c("A2575", "A46", "A19", "A49")
Quant <- as.data.frame(Quant)
rownames(LausenTab2) <- a
Quant
LausenTab2
if(!all.equal(LausenTab2, Quant)) stop("error checking pLausen92")
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