Nothing
regmix.lambda.init = function (y, x, lambda = NULL, beta = NULL, s = NULL, k = 2,
addintercept = TRUE, arbmean = TRUE, arbvar = TRUE)
{
x <- as.matrix(x)
n <- length(y)
p <- ncol(x)
if (addintercept) {
x = x[, -1]
}
else x = x
w = cbind(y, x)
w = w[order(w[, 1]), ]
w.bin = list()
for (j in 1:k) {
w.bin[[j]] <- w[max(1, floor((j - 1) * n/k)):ceiling(j *
n/k), ]
}
if (addintercept) {
lm.out <- lapply(1:k, function(i) lm(w.bin[[i]][, 1] ~
w.bin[[i]][, 2:p]))
}
else lm.out <- lapply(1:k, function(i) lm(w.bin[[i]][, 1] ~
w.bin[[i]][, 2:(p + 1)] - 1))
if (is.null(s)) {
s.hyp = lapply(lm.out, anova)
s.hyp = as.vector(sqrt(sapply(1:k, function(i) s.hyp[[i]]$Mean[length(s.hyp[[i]]$Mean)])))
if (arbvar) {
s = 1/rexp(k, rate = s.hyp)
}
else {
s.hyp = mean(s.hyp)
s = 1/rexp(1, rate = s.hyp)
}
}
if (is.null(s) == FALSE && arbvar == TRUE) {
k = length(s)
}
if (is.null(beta)) {
beta.hyp = matrix(sapply(lm.out, coef), ncol = k)
beta = matrix(0, nrow = p, ncol = k)
for (j in 1:k) {
beta[, j] = rnorm(p, mean = as.vector(beta.hyp[,
j]), sd = s[arbvar * j + (1 - arbvar)])
}
if (arbmean == FALSE) {
beta = apply(beta, 1, mean)
}
}
if (is.null(beta) == FALSE && arbmean == TRUE) {
k = ncol(beta)
}
if (is.null(lambda)) {
lam = runif(k)
lam = lam/sum(lam)
for(i in 1:n) {lambda <- rbind(lambda,lam)}
}
else k = ncol(lambda)
list(lambda = lambda, beta = beta, s = s, k = k)
}
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