+testMultistart <- function(N, n, p, beta, b, link, nstart, ncores)
+{
+ res <- multiRun(
+ list(n=n, p=p, beta=beta, b=b, link=link, nstart=nstart),
+ list(
+ function(fargs) {
+ # 1 start
+ library(morpheus)
+ K <- ncol(fargs$beta)
+ op <- optimParams(fargs$X, fargs$Y, K, fargs$link, fargs$M)
+ x_init <- list(p=rep(1/K,K-1), beta=fargs$mu, b=rep(0,K))
+ res2 <- NULL
+ tryCatch({
+ res2 <- do.call(rbind, op$run(x_init))
+ }, error = function(e) {})
+ res2
+ },
+ function(fargs) {
+ # B starts
+ library(morpheus)
+ K <- ncol(fargs$beta)
+ d <- nrow(fargs$beta)
+ op <- optimParams(fargs$X, fargs$Y, K, fargs$link, fargs$M)
+ best_val <- Inf
+ best_par <- list()
+ for (i in 1:fargs$nstart)
+ {
+ #x_init <- list(p=rep(1/K,K-1), beta=i*fargs$mu, b=rep(0,K))
+ M <- matrix(rnorm(d*K), nrow=d, ncol=K)
+ M <- t(t(M) / sqrt(colSums(M^2)))
+ x_init <- list(p=rep(1/K,K-1), beta=M, b=rep(0,K))
+ par <- NULL
+ tryCatch({
+ par <- op$run(x_init)
+ }, error = function(e) {})
+ if (!is.null(par))
+ {
+ val <- op$f( op$linArgs(par) )
+ if (val < best_val)
+ {
+ best_par <- par
+ best_val <- val
+ }
+ }
+ }
+ # Bet that at least one run succeded:
+ do.call(rbind,best_par)
+ }
+ ),
+ prepareArgs = function(fargs, index) {
+ library(morpheus)
+ io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$link)
+ fargs$M <- computeMoments(io$X, io$Y)
+ mu <- computeMu(io$X, io$Y, list(M=fargs$M))
+ fargs$mu <- mu
+ fargs$X <- io$X
+ fargs$Y <- io$Y
+ fargs
+ }, N=N, ncores=ncores, verbose=TRUE)
+ for (i in 1:2)
+ res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
+ res
+}
+