X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FR%2FselectVariables.R;h=f717caeb46125472a1565b3024f7385c43ec952d;hp=fe0688c5989954eca72c7dfbb21afbebde5f8f1d;hb=1b698c1619dbcf5b3a0608dc894d249945d2bce3;hpb=f7e157cdbcf2d60224c2d6773da9c698174e9aee diff --git a/pkg/R/selectVariables.R b/pkg/R/selectVariables.R index fe0688c..f717cae 100644 --- a/pkg/R/selectVariables.R +++ b/pkg/R/selectVariables.R @@ -24,35 +24,33 @@ #' selectVariables <- function(phiInit, rhoInit, piInit, gamInit, mini, maxi, gamma, glambda, X, Y, thresh = 1e-08, eps, ncores = 3, fast = TRUE) - { - if (ncores > 1) - { +{ + if (ncores > 1) { cl <- parallel::makeCluster(ncores, outfile = "") parallel::clusterExport(cl = cl, varlist = c("phiInit", "rhoInit", "gamInit", "mini", "maxi", "glambda", "X", "Y", "thresh", "eps"), envir = environment()) } - + # Computation for a fixed lambda computeCoefs <- function(lambda) { params <- EMGLLF(phiInit, rhoInit, piInit, gamInit, mini, maxi, gamma, lambda, X, Y, eps, fast) - + p <- dim(phiInit)[1] m <- dim(phiInit)[2] - + # selectedVariables: list where element j contains vector of selected variables # in [1,m] - selectedVariables <- lapply(1:p, function(j) - { + selectedVariables <- lapply(1:p, function(j) { # from boolean matrix mxk of selected variables obtain the corresponding boolean # m-vector, and finally return the corresponding indices seq_len(m)[apply(abs(params$phi[j, , ]) > thresh, 1, any)] }) - + list(selected = selectedVariables, Rho = params$rho, Pi = params$pi) } - + # For each lambda in the grid, we compute the coefficients out <- if (ncores > 1) parLapply(cl, glambda, computeCoefs) else lapply(glambda, computeCoefs) @@ -67,8 +65,6 @@ selectVariables <- function(phiInit, rhoInit, piInit, gamInit, mini, maxi, gamma ind_uniq <- which(!ind_dup) out2 <- list() for (l in 1:length(ind_uniq)) - { out2[[l]] <- out[[ind_uniq[l]]] - } out2 }