Nothing
fbarmax <- function(mu, barom, maxom,
eta = c(0.97675624, 0.01917240, 0.00407136)){
# require(MixSim)
sigma <- array(c(1, 1, 1), dim = c(1, 1, 3))
# eta <- c(0.97675624, 0.01917240, 0.00407136)
mu <- matrix(c(0, mu[1], mu[2]), nrow = 3, ncol = 1)
ommap <- overlap(Pi = eta, Mu = mu, S = sigma)
((barom - ommap$BarOmega) / barom)^2 + ((maxom - ommap$MaxOmega) / maxom)^2
} # End of fbarmax().
gendataset <- function(phantom, overlap, smooth = FALSE){
eta <- table(phantom) / sum(table(phantom))
mu <- c(0, optim(runif(2) + 3, fn = fbarmax,
barom = overlap, maxom = overlap, eta = eta)$par)
tval <- matrix(rnorm(256^2), ncol = 256) + mu[phantom+1]
if(smooth == TRUE){
ystat <- tval
ystat[is.na(ystat)] <- 0
## smooth by Garcia method
ystat <- gcv.smooth2d(ystat, interval = c(0,10))$im.smooth
ystat[is.na(tval)] <- NA
tval <- ystat
}
pval <- pnorm(tval, lower.tail = F)
ret <- list(eta = eta, overlap = overlap,
mu = mu, class.id = phantom + 1, tval = tval, pval = pval)
ret
} # End of gendataset().
dpval <- function(x, mu = 0, log = FALSE){
f <- function(p, mu = 0){
dnorm(x = qnorm(p = 1 - p) - mu) / dnorm(x = qnorm(p = 1 - p))
}
f.log <- function(p, mu = 0){
dnorm(x = qnorm(p = 1 - p) - mu, log = TRUE) -
dnorm(x = qnorm(p = 1 - p), log = TRUE)
}
if(log){
ret <- sapply(x, f.log, mu = mu)
} else{
ret <- sapply(x, f, mu = mu)
}
ret
} # End of dpval().
dmixpval <- function(x, eta, mu){
K <- length(eta)
if(K != length(mu)){
stop("length(eta) != length(mu)")
}
ret <- 0
for(i.k in 1:K){
ret <- ret + exp(dpval(x, mu = mu[i.k], log = TRUE) + log(eta[i.k]))
}
ret
} # End of dmixpval().
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