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)
+ op <- optimParams(fargs$X, fargs$Y, K, fargs$link, M, 1) #only 1 OpenMP core
x_init <- list(p=rep(1/K,K-1), beta=mu, b=rep(0,K))
res2 <- NULL
tryCatch({
}, error = function(e) {})
res2
}
-# ,
-# # flexmix
-# function(fargs) {
-# library(flexmix)
-# source("../patch_Bettina/FLXMRglm.R")
-# K <- ncol(fargs$beta)
-# dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
-# res2 <- NULL
-# tryCatch({
-# fm <- flexmix( cbind(V1, 1-V1) ~ .-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
-# }
+ ,
+ # 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)
}
mr <- optimBeta(N, n, p, beta, b, link, ncores)
-mr_params <- list("N"=N, "nc"=ncores, "n"=n, "K"=K, "d"=d, "link"=link,
+mr_params <- list("N"=N, "nc"=ncores, "n"=n, "link"=link,
"p"=c(p,1-sum(p)), "beta"=beta, "b"=b)
save("mr", "mr_params", file=paste("res_",n,"_",d,"_",link,".RData",sep=""))