-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")