setRNG: Set (Normal) Random Number Generator and Seed

Provides utilities to help set and record the setting of the seed and the uniform and normal generators used when a random experiment is run. The utilities can be used in other functions that do random experiments to simplify recording and/or setting all the necessary information for reproducibility. See the vignette and reference manual for examples.

Version: 2022.4-1
Depends: R (≥ 2.5.0)
Imports: stats
Published: 2022-04-03
Author: Paul Gilbert
Maintainer: Paul Gilbert <pgilbert.ttv9z at>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Materials: NEWS
In views: Distributions
CRAN checks: setRNG results


Reference manual: setRNG.pdf
Vignettes: setRNG Guide


Package source: setRNG_2022.4-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): setRNG_2022.4-1.tgz, r-oldrel (arm64): setRNG_2022.4-1.tgz, r-release (x86_64): setRNG_2022.4-1.tgz, r-oldrel (x86_64): setRNG_2022.4-1.tgz
Old sources: setRNG archive

Reverse dependencies:

Reverse depends: distrEllipse, distrSim, distrTEst
Reverse imports: arrayQualityMetrics, dse, EvalEst, optimr
Reverse suggests: BB, momentuHMM, optimx, orsk, SQUAREM, turboEM


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