+++ /dev/null
-library(morpheus)
-
-#model = binomial
-K <- 2
-p <- .5
-b <- c(-.2, .5)
-# Default values:
-link = "logit"
-N <- 100
-d <- 2
-n <- 1e4
-ncores <- 1
-nstart <- 3 #nstart-1 random starting points for each MC run
-
-cmd_args <- commandArgs()
-for (arg in cmd_args)
-{
- if (substr(arg,1,1)!='-')
- {
- spl <- strsplit(arg,'=')[[1]]
- if (spl[1] == "nc") {
- ncores <- as.integer(spl[2])
- } else if (spl[1] == "N") {
- N <- as.integer(spl[2])
- } else if (spl[1] == "n") {
- n <- as.integer(spl[2])
- } else if (spl[1] == "d") {
- d <- as.integer(spl[2])
- } else if (spl[1] == "link") {
- link <- spl[2]
- } else if (spl[1] == "nstart") {
- nstart <- spl[2]
- }
- }
-}
-betas <- list(
- matrix( c(1,-2, 3,1), ncol=K ), #d=2
- matrix( c(1,2,-1,0,3, 2,-3,0,1,0), ncol=K ), #d=5
- matrix( c(1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0), ncol=K ) ) #d=10
-beta <- betas[[ ifelse( d==2, 1, ifelse(d==5,2,3) ) ]]
-
-ms <- multiRun(
- list(n=n,p=p,beta=beta,b=b,optargs=list(K=K,link=link,nstart=nstart)), list(
- function(fargs) {
- # 1 start
- library(morpheus)
- K <- fargs$optargs$K
- op <- optimParams(K, fargs$optargs$link, fargs$optargs)
- x_init <- c(rep(1/K,K-1), as.double(fargs$mu), rep(0,K))
- do.call(rbind,op$run(x_init))
- },
- function(fargs) {
- # B starts
- library(morpheus)
- K <- fargs$optargs$K
- op <- optimParams(K, fargs$optargs$link, fargs$optargs)
- best_val <- Inf
- best_par <- list()
- for (i in 1:fargs$optargs$nstart)
- {
- x_init <- c(rep(1/K,K-1), as.double(i*fargs$mu), rep(0,K))
- par <- op$run(x_init)
- val <- op$f( op$linArgs(par) )
- if (val < best_val)
- {
- best_par <- par
- best_val <- val
- }
- }
- do.call(rbind,best_par)
- }),
- prepareArgs = function(fargs) {
- library(morpheus)
- io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$optargs$link)
- fargs$optargs$M <- computeMoments(io$X, io$Y)
- mu <- computeMu(io$X, io$Y, fargs$optargs)
- fargs$mu <- mu
- }, N=N, ncores=ncores, verbose=TRUE)
-for (i in 1:2)
- ms[[i]] <- alignMatrices(ms[[i]], ref=rbind(p,beta,b), ls_mode="exact")
-
-ms_params <- list("N"=N, "nc"=ncores, "n"=n, "K"=K, "link"=link,
- "p"=p, "beta"=beta, "b"=b, "nstart"=nstart)
-
-save(ms, ms_params, file="multistart.RData")