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This has come up when running parallel analyses of BiSSE (#131) and compartmental models (issue?). The current workaround is to run R from the command line, which suggests that this problem is related to running parallel processes within RStudio.
Can someone reproduce this problem within RStudio and monitor memory usage before the crash?
Then we can do the same thing for command-line execution and compare. It would be easier to diagnose memory leaks if we can run it from the command line with valgrind.
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