update
[morpheus.git] / reports / accuracy.R
1 optimBeta <- function(N, n, K, p, beta, b, link, ncores)
2 {
3 library(morpheus)
4 res <- multiRun(
5 list(n=n, p=p, beta=beta, b=b, optargs=list(K=K, link=link)),
6 list(
7 # morpheus
8 function(fargs) {
9 library(morpheus)
10 K <- fargs$optargs$K
11 M <- computeMoments(fargs$X, fargs$Y)
12 fargs$optargs$M <- M
13 mu <- computeMu(fargs$X, fargs$Y, fargs$optargs)
14 res2 <- NULL
15 tryCatch({
16 op <- optimParams(K,link,fargs$optargs)
17 x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
18 res2 <- do.call(rbind, op$run(x_init))
19 }, error = function(e) {
20 res2 <- NA
21 })
22 res2
23 }
24 # ,
25 # # flexmix
26 # function(fargs) {
27 # library(flexmix)
28 # source("../patch_Bettina/FLXMRglm.R")
29 # K <- fargs$optargs$K
30 # dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
31 # res2 <- NULL
32 # tryCatch({
33 # fm <- flexmix( cbind(V1, 1-V1) ~ .-V1, data=dat, k=K,
34 # model = FLXMRglm(family = binomial(link = link)) )
35 # p <- mean(fm@posterior[["scaled"]][,1])
36 # out <- refit(fm)
37 # beta_b <- sapply( seq_len(K), function(i) {
38 # as.double( out@components[[1]][[i]][,1] )
39 # } )
40 # res2 <- rbind(p, beta_b[2:nrow(beta_b),], beta_b[1,])
41 # }, error = function(e) {
42 # res2 <- NA
43 # })
44 # res2
45 # }
46 ),
47 prepareArgs = function(fargs, index) {
48 library(morpheus)
49 io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$optargs$link)
50 fargs$X = io$X
51 fargs$Y = io$Y
52 fargs$optargs$K = ncol(fargs$beta)
53 fargs$optargs$M = computeMoments(io$X,io$Y)
54 fargs
55 }, N=N, ncores=ncores, verbose=TRUE)
56 p <- c(p, 1-sum(p))
57 for (i in 1:length(res)) {
58 for (j in N:1) {
59 if (is.null(res[[i]][[j]]) || is.na(res[[i]][[j]]))
60 res[[i]][[j]] <- NULL
61 }
62 print(paste("Count valid runs for ",i," = ",length(res[[i]]),sep=""))
63 res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
64 }
65 res
66 }
67
68 #model = binomial; default values:
69 link = "logit"
70 N <- 10
71 d <- 2
72 n <- 1e4
73 ncores <- 1
74
75 cmd_args <- commandArgs()
76 for (arg in cmd_args)
77 {
78 if (substr(arg,1,1)!='-') {
79 spl <- strsplit(arg,'=')[[1]]
80 if (spl[1] == "nc") {
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") {
89 link <- spl[2]
90 }
91 }
92 }
93
94 if (d == 2) {
95 K <- 2
96 p <- .5
97 b <- c(-.2, .5)
98 beta <- matrix( c(1,-2, 3,1), ncol=K )
99 } else if (d == 5) {
100 K <- 2
101 p <- .5
102 b <- c(-.2, .5)
103 beta <- matrix( c(1,2,-1,0,3, 2,-3,0,1,0), ncol=K )
104 } else if (d == 10) {
105 K <- 3
106 p <- c(.3, .3)
107 b <- c(-.2, 0, .5)
108 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 )
109 } else if (d == 20) {
110 K <- 3
111 p <- c(.3, .3)
112 b <- c(-.2, 0, .5)
113 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 )
114 }
115
116 mr <- optimBeta(N, n, K, p, beta, b, link, ncores)
117 mr_params <- list("N"=N, "n"=n, "K"=K, "d"=d, "link"=link,
118 "p"=c(p,1-sum(p)), "beta"=beta, "b"=b)
119
120 save("mr", "mr_params", file=paste("multirun_",n,"_",d,"_",link,".RData",sep=""))