Thanks. This is all happening inside a package for CRAN, so I would rather
avoid more complexity and potential platform-dependence, but I also cannot
afford for it to break unpredictably (or otherwise).

On Mon, Apr 16, 2018 at 3:33 PM, Dirk Eddelbuettel <> wrote:

> On 16 April 2018 at 13:41, Murray Efford wrote:
> | I read in the RcppParallel blurb "The code that you write within parallel
> | workers should not call the R or Rcpp API in any fashion", which is
> | admirably clear. However, it leaves me without threadsafe access to
> | distribution functions (dpois, dbinom etc.). In practice, so far, these R
> | API calls seem to work for me, but can they be trusted? Is there an
> | alternative?
> That's a fair question. They may work, as they are also exposed / available
> via the standalone R math library (see Writing R Extensions).
> As such, they may not required memory allocations or other interactions
> with
> the R process and hence "not call R ... in any fashion" per the above.
> But we can't say for sure. If you want to be safe, maybe stick to
> equivalent functions from a non-R source: C++11, Boost, ...
> Dirk
> | (It seems this question must have arisen before, but I haven't found an
> | answer)
> --
> | @eddelbuettel |
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