dqrng v0.3.0

Today dqrng version 0.3.0 made it unto CRAN and is now propagating to the mirrors.

This release contains a breaking change: The initial state of dqrng’s RNG is based on R’s RNG, which used to advance R’s RNG state. The implementation has been changed to preserve R’s RNG state, which is less surprising but can change the outcome of current scripts. (#44 fixing #43)

In addition, the generation of uniform random numbers now takes a short-cut for min == max and throws an error for min > max (#34 fixing #33)

Behind the scenes I have switched from Travis and Appveyor to Github Actions for continuous integration. The switch was pretty smooth using usethis::use_github_actions(),

Ralf Stubner
Software Engineer, Consultant, Physicist

Software Engineer, Consultant, Physicist