+library(morpheus)
+morph <- function(fargs) {
+ K <- fargs$optargs$K
+ M <- computeMoments(fargs$X, fargs$Y)
+ fargs$optargs$M <- M
+ mu <- computeMu(fargs$X, fargs$Y, fargs$optargs)
+ res2 <- NULL
+ tryCatch({
+ op <- optimParams(K,link,fargs$optargs)
+ x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
+ res2 <- do.call(rbind, op$run(x_init))
+ }, error = function(e) {
+ res2 <- NA
+ })
+ res2
+}
+
+#model = binomial; default values:
+link = "probit"
+N <- 10
+d <- 2
+n <- 1e4
+ncores <- 1
+
+if (d == 2) {
+ K <- 2
+ p <- .5
+ b <- c(-.2, .5)
+ beta <- matrix( c(1,-2, 3,1), ncol=K )
+} else if (d == 5) {
+ K <- 2
+ p <- .5
+ b <- c(-.2, .5)
+ beta <- matrix( c(1,2,-1,0,3, 2,-3,0,1,0), ncol=K )
+} else if (d == 10) {
+ K <- 3
+ p <- c(.3, .3)
+ b <- c(-.2, 0, .5)
+ beta <- matrix( c(1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0, -1,1,3,-1,0,0,2,0,1,-2), ncol=K )
+} else if (d == 20) {
+ K <- 3
+ p <- c(.3, .3)
+ b <- c(-.2, 0, .5)
+ beta <- matrix( c(1,2,-1,0,3,4,-1,-3,0,2,2,-3,0,1,0,-1,-4,3,2,0, -1,1,3,-1,0,0,2,0,1,-2,1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0,1,1,2,2,-2,-2,3,1,0,0), ncol=K )
+}
+
+fargs = list(n=n, p=p, beta=beta, b=b)
+fargs$optargs = list(link=link)
+
+io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$optargs$link)
+fargs$X = io$X
+fargs$Y = io$Y
+fargs$optargs$K = ncol(fargs$beta)
+fargs$optargs$M = computeMoments(io$X,io$Y)
+
+res2 <- morph(fargs)
+
+save("res2", file="test.RData")