dqrng
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daqana
Fast Pseudo Random Number Generators for R
``` ---> Building R-dqrng xinstall: mkdir /opt/local/var/macports/build/_opt_PPCSnowLeopardPorts_R_R-dqrng/R-dqrng/work/build Executing: cd "/opt/local/var/macports/build/_opt_PPCSnowLeopardPorts_R_R-dqrng/R-dqrng/work/dqrng" && /opt/local/bin/R CMD INSTALL . --library=/opt/local/var/macports/build/_opt_PPCSnowLeopardPorts_R_R-dqrng/R-dqrng/work/build --install-tests * installing *source* package ‘dqrng’ ... ** package ‘dqrng’ successfully unpacked and MD5...
Reverse dependency checks via GHA are still not working, but running them locally gives me two failures: # GridOnClusters * Version: 0.1.0 * GitHub: NA * Source code: https://github.com/cran/GridOnClusters *...
At the moment I am using distribution functions from `boost.random` and add some template specialization to the 64bit RNGs provided here. This works well in principle, but has some disadvantages:...
The [parallel vignette](https://daqana.github.io/dqrng/articles/parallel.html) shows how one can get reproducible parallel RNG streams in principle. However, this is not very convenient. It would be nice to have an analogue function for...
* re-run the vignettes completely (w/o running them on CRAN?) * some sort of performance testing, maybe using https://github.com/lorenzwalthert/touchstone
* ~w/o replacement is currently implemented in R~ * w/ replacement uses either probabilistic sampling or the alias method fixes #18 fixes #45 fixes #52 - [x] (more) checks /...
Many distribution functions are supported via the [stats package](https://stat.ethz.ch/R-manual/R-patched/library/stats/html/Distributions.html) and [add-on packages](https://cran.r-project.org/view=Distributions) together with Rs RNG. It would be good to support a greater selection of distributions together with the...
PR #62 added a symbolic link from `include` to `inst/include`. Unfortunately I cannot get `dqrng` to install on WIndows anymore, since it seems symbolic links on Windows require admin permissions....
I was reading Goualard, Frédéric. “Drawing Random Floating-Point Numbers from an Interval.” ACM Transactions on Modeling and Computer Simulation 32, no. 3 (July 31, 2022): 1–24. https://doi.org/10.1145/3503512. (preprint at https://hal.science/hal-03282794v4)...
## Problem Some of boost's internal functions are fully specialized for `dqrng::random_64bit_generator`; see below. However, this specialization works for `dqrng::random_64bit_generator` only and not for any of its derived classes. See...
