X-Git-Url: https://git.auder.net/?p=morpheus.git;a=blobdiff_plain;f=reports%2Fmultistart.R;fp=reports%2Fmultistart.R;h=0000000000000000000000000000000000000000;hp=b3d1e100e4e4e2cba822281b860da9ac8bdd5304;hb=cc87714e5ad552260857c3abd508155355f10796;hpb=476a79d4b332d378716e320fdfd95fa3e1d7be9f

diff --git a/reports/multistart.R b/reports/multistart.R
deleted file mode 100644
index b3d1e10..0000000
--- a/reports/multistart.R
+++ /dev/null
@@ -1,85 +0,0 @@
-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")