--- /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")