A new maintenance release of
is now on CRAN. And just like
yesterday’s RcppClassic upload,
this is motivated chiefly by some minor caretaking for an upcoming
Rcpp release —
hopefully soon, and with more details to follow.
This release also contains some small extensions and work-in-progress. By
using R’s uniform generator, we can fall back to R’s seeding of the RNG —
but going through the R data structures has a performance hit. Similarly,
and somewhat surprisingly, the default generators in both Boost and the C++11
library are not all that speedy.
NEWS file entry shown below lists all changes.
Changes in version 0.1.2 (2013-12-28)
Add a new generator deploying R’s unif_rand which faciliates use
of Ziggurat as the user-supplied generator for N(0,1)
Update a ‘local’ demo comparing normal distribution RNGs from
Boost, C++11 and Armadillo none of which are particularly speedy