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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++.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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