rTRNG 4.23.1-2
Patch release
- Fix invalid image height property attribute in the documentation
(#25).
- Fix redirected URLs in documentation (#28).
- Remove unnecessary
LazyData
in DESCRIPTION (#28).
- Maintenance of Continuous Integration GitHub Actions workflow (#26,
#24).
rTRNG 4.23.1-1
Maintenance release
- Underlying TRNG C++ library upgraded to version 4.23.1 (#20). This
is a maintenance release, mainly including: Enhanced numerical accuracy
of several special mathematical functions; Re-implementation of the
discard method of the lagged Fibonacci generators with logarithmic
asymptotic complexity. The release also fixes the uninitialized-memory
problems reported as
valgrind
issues in the CRAN package
checks for rTRNG 4.20-1 (#16).
- Unit tests for “invalid argument” errors are now robust to systems
where the error class does not propagate correctly to R, such as R 3.6.3
on macOS (#15). This addresses the errors running tests in the CRAN
package checks on macOS.
- Continuous integration is now based on GitHub Actions and covers
R-release, R-oldrel and R-devel on Ubuntu, macOS and Windows (#14), as
well as running checks with
valgrind
(#20).
rTRNG 4.22-1
Maintenance release (GitHub
only)
- Underlying TRNG C++ library upgraded to version 4.22 (#6). This
mainly includes: Fixing numerical convergence problems in the inverse of
the incomplete Beta function; Removing support for C++ language
standards older than C++11.
- Documentation and examples updated to include enforcing the C++11
standard required by the updated TRNG C++ library.
- New function
check_rTRNG_linking()
allows checking
whether C++ code using the TRNG library can be built and linked against
rTRNG (#10).
- Package vignettes now use
check_rTRNG_linking()
to
build C++ code using TRNG only on systems supporting it. This addresses
the vignette re-building issues in the CRAN package checks on macOS (and
Solaris), and is broadly documented in the package, including README and
vignettes (#10).
rTRNG 4.20-1
Initial CRAN release
- Embed TRNG 4.20 C++ library.
- Expose parallel random number generators and distributions from the
library to R.
- Make TRNG accessible to other R projects’ C++ code, via package
dependency or
Rcpp::sourceCpp
.
- Vignettes and examples covering basic and advanced usage with both R
and C++.