v0.4.1

What's Changed

• Fix issues from 0.4.0 by @rstub in #90
• Exclude PCG on MacOS PowerPC by @rstub in #91

Full Changelog: v0.4.0...v0.4.1

v0.4.0

What's Changed

• Decouple sitmo by @rstub in #55
• feat: improve gitignore file by @hsloot in #61
• fix: testhat finds dqrng header by @hsloot in #62
• feat: global RNG access by @hsloot in #58
• Other xoshiro generators by @rstub in #57
• Allow registering as user-supplied RNG by @rstub in #67
• Restructure jump() to remove code duplication. by @rstub in #68
• Change internal storage type to Rcpp::XPtr<random_64bit_generator> by @rstub in #70
• WARN on CRAN by @rstub in #74
• Add missing inline attributes to avoid linker issues. by @plietar in #75
• I/O for RNG state by @rstub in #78
• Add clone(stream) method for the RNGs by @rstub in #79
• Deprecate scalar functions by @rstub in #81
• Feature/parallel generate by @rstub in #82
• Add 'inline' to get_seed_from_r() by @rstub in #84
• Remove extra boost by @rstub in #86
• Restore pcg ctor by @rstub in #87

New Contributors

• @hsloot made their first contribution in #61
• @plietar made their first contribution in #75

Full Changelog: v0.3.2...v0.4.0

see also https://github.com/daqana/dqrng/blob/main/NEWS.md

v0.3.2

• Recreate RcppExports.cpp with current development version of Rcpp to fix WARN on CRAN

v0.3.1

• new method dqrrademacher for drawing Rademacher weights (Kyle Butts in #50 fixing #49)
• Move sampling methods to separate header file, allowing for parallel usage.
• New method dqrmvnorm sampling from a multivariate normal distribution.
  This uses the methods implemented in the mvtnorm package and uses dqrnorm.

dqrng 0.2.0

• Add R side support for selecting multiple streams for parallel usage.
• Implement long_jump() for Xo(ro)shiro as alternative to jump()
  providing fewer streams with longer period.
• Handle R's RNG scope properly during initialisation.
• New functions dqsample and dqsample.int using an unbiased sampling
  algorithm.
• Use R_unif_index() instead of unif_rand() to retrieve random data
  from R's RNG in generateSeedVectors().
• Scalar RNGs in the C++ API: dqrng::runif, dqrng::rnorm and dqrng::rexp

dqrng 0.1.1

• Use template specializations to avoid compiler warnings during tests (Aaron Lun in #16)
• Do not expect a particular error message on MacOS and skip exception throwing tests on Solaris.

dqrng 0.1.0

Breaking changes

• An integer vector instead of a single int is used for seeding (Aaron Lun in #10)
  • Single integer seeds lead to a different RNG state than before.
  • dqrng::dqset_seed() expects a Rcpp::IntegerVector instead of an int
• Support for Mersenne-Twister has been removed, Xoroshiro128+ is now the default.

Other changes

• New method generateSeedVectors() for generating a list of random int
  vectors from R's RNG. These vectors can be used as seed (Aaron Lun in #10).
• The initial state of the default RNG is now based on R's RNG.

New and updated RNGs

• New RNG: Threefry from package 'sitmo'
• Update PCG Headers (c.f. #8)
• Unit-Tests for the C++ interface
• Define STRICT_R_HEADERS to prepare for future Rcpp (c.f. #6)

v0.0.4

• Fix critical bug w.r.t. setting seeds
• Use time in addition to std::random_device as source of the default seed, since std::random_device is deterministic with MinGW (c.f. #2)
• Add jump() method to Xoshiro256+ and Xorohiro128+
• New vignette on parallel usage

v0.0.3

• PCG has been patched to compile on Solaris.