Software development for "Bayesian nonparametric population inference". In other words, just the direct application of probability theory to get the most general, principled, model-free inference we can have.
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Avoid use of `data.table`, or block its multi-threading #36
The package data.table can start several R threads, which leads to a slow down if this is done in an already-parallelized computation. Two ways out of this:
– Avoid use of data.table. Indeed I don't think we really need it (and I find some of its syntax a bit nonsensical)
The package
data.table
can start several R threads, which leads to a slow down if this is done in an already-parallelized computation. Two ways out of this:– Avoid use of
data.table
. Indeed I don't think we really need it (and I find some of its syntax a bit nonsensical)– Use
setDTthreads(1)
when callingdata.table
.