X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=reports%2Faccuracy.R;fp=reports%2Faccuracy.R;h=2f35792228090b423ecdcd29e6934a8d018b0960;hb=1d014a8640a33f16f0d21244a1419134e8553910;hp=0000000000000000000000000000000000000000;hpb=1b8eb253d7c51c578f64f963c71ab4b77703f2bc;p=morpheus.git

diff --git a/reports/accuracy.R b/reports/accuracy.R
new file mode 100644
index 0000000..2f35792
--- /dev/null
+++ b/reports/accuracy.R
@@ -0,0 +1,100 @@
+optimBeta <- function(N, n, K, p, beta, b, link, ncores)
+{
+	library(morpheus)
+	res <- multiRun(
+		list(n=n,p=p,beta=beta,b=b,optargs=list(K=K,link=link)),
+		list(
+			# morpheus
+			function(fargs) {
+				library(morpheus)
+				K <- fargs$optargs$K
+				M <- computeMoments(fargs$X, fargs$Y)
+				fargs$optargs$M <- M
+				mu <- computeMu(fargs$X, fargs$Y, fargs$optargs)
+				op <- optimParams(K,link,fargs$optargs)
+				x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
+				do.call(rbind, op$run(x_init))
+			},
+			# flexmix
+			function(fargs) {
+				library(flexmix)
+				source("../patch_Bettina/FLXMRglm.R")
+				K <- fargs$optargs$K
+				dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
+				fm <- flexmix( cbind(V1, 1-V1) ~ .-V1, data=dat, k=K,
+					model = FLXMRglm(family = binomial(link = link)) )
+				p <- mean(fm@posterior[["scaled"]][,1])
+				out <- refit(fm)
+				beta_b <- sapply( seq_len(K), function(i) {
+					as.double( out@components[[1]][[i]][,1] )
+				} )
+				rbind(p, beta_b[2:nrow(beta_b),], beta_b[1,])
+			} ),
+		prepareArgs = function(fargs, index) {
+			library(morpheus)
+			io = generateSampleIO(fargs$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)
+			fargs
+		}, N=N, ncores=ncores, verbose=TRUE)
+	p <- c(p, 1-sum(p))
+	for (i in 1:2)
+		res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
+	res
+}
+
+#model = binomial; default values:
+link = "logit"
+N <- 10
+d <- 2
+n <- 1e4
+ncores <- 1
+
+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]
+		}
+	}
+}
+
+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 )
+}
+
+mr <- optimBeta(N, n, K, p, beta, b, link, ncores)
+mr_params <- list("N"=N, "n"=n, "K"=K, "d"=d, "link"=link,
+	"p"=c(p,1-sum(p)), "beta"=beta, "b"=b)
+
+save("mr", "mr_params", file=paste("multirun_",d,"_",link,".RData",sep=""))