1 optimBeta <- function(N, n, K, p, beta, b, link, weights, ncores)
5 list(n=n, p=p, beta=beta, b=b, optargs=list(K=K, link=link, weights=weights)),
11 M <- computeMoments(fargs$X, fargs$Y)
13 mu <- computeMu(fargs$X, fargs$Y, fargs$optargs)
14 op <- optimParams(K,fargs$optargs$link,fargs$optargs)
15 x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
17 res2 <- do.call(rbind, op$run(x_init))
18 }, error = function(e) {
27 # source("../patch_Bettina/FLXMRglm.R")
28 # K <- fargs$optargs$K
29 # dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
32 # fm <- flexmix( cbind(V1, 1-V1) ~ .-V1, data=dat, k=K,
33 # model = FLXMRglm(family = binomial(link = link)) )
34 # p <- mean(fm@posterior[["scaled"]][,1])
36 # beta_b <- sapply( seq_len(K), function(i) {
37 # as.double( out@components[[1]][[i]][,1] )
39 # res2 <- rbind(p, beta_b[2:nrow(beta_b),], beta_b[1,])
40 # }, error = function(e) {
46 prepareArgs = function(fargs, index) {
48 io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$optargs$link)
51 fargs$optargs$K = ncol(fargs$beta)
53 }, N=N, ncores=ncores, verbose=TRUE)
55 for (i in 1:length(res)) {
57 if (is.null(res[[i]][[j]]) || is.na(res[[i]][[j]]))
60 print(paste("Count valid runs for ",i," = ",length(res[[i]]),sep=""))
61 res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
66 #model = binomial; default values:
75 cmd_args <- commandArgs()
78 if (substr(arg,1,1)!='-') {
79 spl <- strsplit(arg,'=')[[1]]
81 ncores <- as.integer(spl[2])
82 } else if (spl[1] == "N") {
83 N <- as.integer(spl[2])
84 } else if (spl[1] == "n") {
85 n <- as.integer(spl[2])
86 } else if (spl[1] == "d") {
87 d <- as.integer(spl[2])
88 } else if (spl[1] == "link") {
90 } else if (spl[1] == "weights") {
92 weights <- as.numeric(unlist(strsplit(spl[2], ",")))
101 beta <- matrix( c(1,-2, 3,1), ncol=K )
106 beta <- matrix( c(1,2,-1,0,3, 2,-3,0,1,0), ncol=K )
107 } else if (d == 10) {
111 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 )
112 } else if (d == 20) {
116 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 )
119 mr <- optimBeta(N, n, K, p, beta, b, link, weights, ncores)
120 mr_params <- list("N"=N, "nc"=ncores, "n"=n, "K"=K, "d"=d, "link"=link,
121 "p"=c(p,1-sum(p)), "beta"=beta, "b"=b, "weights"=weights)
123 save("mr", "mr_params", file=paste("res_",n,"_",d,"_",link,"_",strw,".RData",sep=""))