rngtools: Utility functions for working with Random Number Generators

In rngtools: Utility functions for working with Random Number Generators

Description

This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility.

Details

Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.

Examples

showRNG()
s <- getRNG()
RNGstr(s)
RNGtype(s)

# get what would be the RNG seed after set.seed
s <- nextRNG(1234)
showRNG(s)
showRNG( nextRNG(1234, ndraw=10) )

# change of RNG kind
showRNG()
k <- RNGkind()
k[2L] <- 'Ahrens'
try( RNGkind(k) )
setRNG(k)
showRNG()
# set encoded kind
setRNG(501L)
showRNG()

# use as set seed
setRNG(1234)
showRNG()
r <- getRNG()

# extract embedded RNG specifications
runif(10)
setRNG(list(1, rng=1234))
rng.equal(r)

# restore default RNG (e.g., after errors)
RNGrecovery()
showRNG()

rngtools documentation built on May 2, 2019, 5 p.m.