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RBBGCMuso/R/calibrateMuso.R
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@ -16,8 +16,8 @@ calibrateMuso <- function(measuredData, parameters =read.csv("parameters.csv", s
thread_prefix="thread", numCores = max(c(parallel::detectCores()-1,1)), pb = txtProgressBar(min=0, max=iterations, style=3), thread_prefix="thread", numCores = max(c(parallel::detectCores()-1,1)), pb = txtProgressBar(min=0, max=iterations, style=3),
maxLikelihoodEpc=TRUE, maxLikelihoodEpc=TRUE,
pbUpdate = setTxtProgressBar, outputLoc="./", method="GLUE",lg = FALSE, w=NULL, ...){ pbUpdate = setTxtProgressBar, outputLoc="./", method="GLUE",lg = FALSE, w=NULL, ...){
future::plan(future::multisession, workers = numCores) future::plan(future::multisession(workers = numCores))
file.remove(list.files(path = settings$inputLoc, pattern="progress.txt", recursive = TRUE, full.names=TRUE)) file.remove(list.files(path = settings$inputLoc, pattern="progress.txt", recursive = TRUE, full.names=TRUE))
file.remove(list.files(path = settings$inputLoc, pattern="preservedCalib.csv", recursive = TRUE, full.names=TRUE)) file.remove(list.files(path = settings$inputLoc, pattern="preservedCalib.csv", recursive = TRUE, full.names=TRUE))
unlink(file.path(settings$inputLoc,"thread"),recursive=TRUE) unlink(file.path(settings$inputLoc,"thread"),recursive=TRUE)