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##' A `davies` function from `CompQuadForm` package (version 1.4.3)
##'
##' Computes the distrbiution of quadratic forms in normal variables using
##' Davies' algorithm (Davies 1980).
##'
##' @noRd
davies <- function(q, lambda, h = rep(1, length(lambda)),
delta = rep(0, length(lambda)),
sigma = 0, lim = 10000, acc = 0.0001) {
r <- length(lambda)
if (any(delta < 0)) {
stop("All non centrality parameters in 'delta' should be positive!")
}
if (length(h) != r) {
stop("lambda and h should have the same length!")
}
if (length(delta) != r) {
stop("lambda and delta should have the same length!")
}
out <- .C("qfc", lambdas = as.double(lambda), noncentral = as.double(delta),
df = as.integer(h), r = as.integer(r), sigma = as.double(sigma),
q = as.double(q), lim = as.integer(lim), acc = as.double(acc),
trace = as.double(rep(0, 7)), ifault = as.integer(0),
res = as.double(0), PACKAGE = "snpsettest")
out$res <- 1 - out$res
## Warning unmeaningful results by additionally checking out$res <= 0
if (out$res > 1 || out$res <= 0) {
warning("Consider playing with 'lim' or 'acc'.")
}
return(list(trace = out$trace, ifault = out$ifault, Qq = out$res))
}
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