- 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$optargs)
- res2 <- NULL
- tryCatch({
- op <- optimParams(K,link,fargs$optargs)
- x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
- res2 <- do.call(rbind, op$run(x_init))
- }, error = function(e) {
- res2 <- NA
- })
- res2
- }
-# ,
-# # flexmix
-# function(fargs) {
-# library(flexmix)
-# source("../patch_Bettina/FLXMRglm.R")
-# K <- fargs$optargs$K
-# dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
-# res2 <- NULL
-# tryCatch({
-# fm <- flexmix( cbind(V1, 1-V1) ~ .-V1, data=dat, k=K,
-# model = FLXMRglm(family = binomial(link = link)) )
-# p <- mean(fm@posterior[["scaled"]][,1])
-# out <- refit(fm)
-# beta_b <- sapply( seq_len(K), function(i) {
-# as.double( out@components[[1]][[i]][,1] )
-# } )
-# res2 <- rbind(p, beta_b[2:nrow(beta_b),], beta_b[1,])
-# }, error = function(e) {
-# res2 <- NA
-# })
-# res2
-# }
- ),
- prepareArgs = function(fargs, index) {
- library(morpheus)
- io = generateSampleIO(fargs$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:length(res)) {
- for (j in N:1) {
- if (is.null(res[[i]][[j]]) || is.na(res[[i]][[j]]))
- res[[i]][[j]] <- NULL
- }
- print(paste("Count valid runs for ",i," = ",length(res[[i]]),sep=""))
- res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
- }
- res
+ library(morpheus)
+ res <- multiRun(
+ list(n=n, p=p, beta=beta, b=b, link=link),
+ list(
+ # morpheus
+ function(fargs) {
+ library(morpheus)
+ K <- ncol(fargs$beta)
+ M <- computeMoments(fargs$X, fargs$Y)
+ mu <- computeMu(fargs$X, fargs$Y, list(K=K, M=M))
+ op <- optimParams(fargs$X, fargs$Y, K, fargs$link, M, 1) #only 1 OpenMP core
+ x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
+ res2 <- NULL
+ tryCatch({
+ res2 <- do.call(rbind, op$run(x_init))
+ }, error = function(e) {})
+ res2
+ }
+ ,
+ # flexmix
+ function(fargs) {
+ library(flexmix)
+ source("../patch_Bettina/FLXMRglm.R")
+ K <- ncol(fargs$beta)
+ dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
+ res2 <- NULL
+ tryCatch({
+ fm <- flexmix( cbind(V1, 1-V1) ~ ., data=dat, k=K,
+ model = FLXMRglm(family = binomial(link = link)) )
+ pf <- colMeans(fm@posterior[["scaled"]])
+ out <- refit(fm)
+ beta_b <- sapply( seq_len(K), function(i) {
+ as.double( out@components[[1]][[i]][,1] )
+ } )
+ res2 <- rbind(pf, beta_b[2:nrow(beta_b),], beta_b[1,])
+ }, error = function(e) {
+ res2 <- NA
+ })
+ res2
+ }
+ ),
+ prepareArgs = function(fargs, index) {
+ library(morpheus)
+ io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$link)
+ fargs$X = io$X
+ fargs$Y = io$Y
+ fargs
+ }, N=N, ncores=ncores, verbose=TRUE)
+ p <- c(p, 1-sum(p))
+ for (i in 1:length(res)) {
+ for (j in N:1) {
+ if (is.null(res[[i]][[j]]) || is.na(res[[i]][[j]]))
+ res[[i]][[j]] <- NULL
+ }
+ print(paste("Count valid runs for ",i," = ",length(res[[i]]),sep=""))
+ res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
+ }
+ res