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 ncf.ca>
License:	GPL-2 | file LICENSE
URL:	http://distr.r-forge.r-project.org/
NeedsCompilation:	no
Materials:	NEWS
In views:	Distributions
CRAN checks:	setRNG results

Documentation:

Reference manual:	setRNG.pdf
Vignettes:	setRNG Guide

Downloads:

Package source:	setRNG_2022.4-1.tar.gz
Windows binaries:	r-devel: setRNG_2022.4-1.zip, r-release: setRNG_2022.4-1.zip, r-oldrel: setRNG_2022.4-1.zip
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

Linking:

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