reports/test.R

   1 library(morpheus)
   2 morph <- function(fargs) {
   3     K <- fargs$optargs$K
   4     M <- computeMoments(fargs$X, fargs$Y)
   5     fargs$optargs$M <- M
   6     mu <- computeMu(fargs$X, fargs$Y, fargs$optargs)
   7     res2 <- NULL
   8     tryCatch({
   9         op <- optimParams(K,link,fargs$optargs)
  10         x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
  11         res2 <- do.call(rbind, op$run(x_init))
  12     }, error = function(e) {
  13         res2 <- NA
  14     })
  15     res2
  16 }
  17
  18 #model = binomial; default values:
  19 link = "probit"
  20 N <- 10
  21 d <- 2
  22 n <- 1e4
  23 ncores <- 1
  24
  25 if (d == 2) {
  26     K <- 2
  27     p <- .5
  28     b <- c(-.2, .5)
  29     beta <- matrix( c(1,-2, 3,1), ncol=K )
  30 } else if (d == 5) {
  31     K <- 2
  32     p <- .5
  33     b <- c(-.2, .5)
  34     beta <- matrix( c(1,2,-1,0,3, 2,-3,0,1,0), ncol=K )
  35 } else if (d == 10) {
  36     K <- 3
  37     p <- c(.3, .3)
  38     b <- c(-.2, 0, .5)
  39     beta <- matrix( c(1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0, -1,1,3,-1,0,0,2,0,1,-2), ncol=K )
  40 } else if (d == 20) {
  41     K <- 3
  42     p <- c(.3, .3)
  43     b <- c(-.2, 0, .5)
  44     beta <- matrix( c(1,2,-1,0,3,4,-1,-3,0,2,2,-3,0,1,0,-1,-4,3,2,0, -1,1,3,-1,0,0,2,0,1,-2,1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0,1,1,2,2,-2,-2,3,1,0,0), ncol=K )
  45 }
  46
  47 fargs = list(n=n, p=p, beta=beta, b=b)
  48 fargs$optargs = list(link=link)
  49
  50 io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$optargs$link)
  51 fargs$X = io$X
  52 fargs$Y = io$Y
  53 fargs$optargs$K = ncol(fargs$beta)
  54 fargs$optargs$M = computeMoments(io$X,io$Y)
  55
  56 res2 <- morph(fargs)
  57
  58 save("res2", file="test.RData")