Nothing
ppccEvdGofTestPValue <-
function (r, n, tol = 1e-07)
{
stat <- 1000 * (1 - r)
n.vec <- as.numeric(dimnames(.ppcc.evd.gof.crit.val.mat)[[1]])
sig.vals.vec <- as.numeric(dimnames(.ppcc.evd.gof.crit.val.mat)[[2]])
if (!is.na(index <- match(n, n.vec))) {
crit.vals <- .ppcc.evd.gof.crit.val.mat[index, ]
}
else {
crit.vals <- numeric(6)
for (i in 1:6) crit.vals[i] <- exp(approx(log(n.vec),
log(.ppcc.evd.gof.crit.val.mat[, i]), xout = log(n))$y)
}
if (stat - crit.vals[1] > tol)
p.val <- "< 0.005"
else if (crit.vals[6] - stat > tol)
p.val <- "> 0.5"
else p.val <- exp(approx(log(crit.vals), log(sig.vals.vec),
xout = log(stat))$y)
p.val
}
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