Simulate random normal variable from threefry generator
Simulate random normal variable from threefry generator
rxnormV(mean =0, sd =1, n =1L, ncores =1L)rxnorm(mean =0, sd =1, n =1L, ncores =1L)
Arguments
mean: vector of means.
sd: vector of standard deviations.
n: number of observations
ncores: Number of cores for the simulation
rxnorm simulates using the threefry sitmo generator.
rxnormV used to simulate with the vandercorput simulator, but since it didn't satisfy the normal properties it was changed to simple be an alias of rxnorm. It is no longer supported in rxode2({}) blocks
Returns
normal random number deviates
Examples
## Use threefry enginerxnorm(n =10)# with rxnorm you have to explicitly state nrxnorm(n =10, ncores =2)# You can parallelize the simulation using openMPrxnorm(2,3)## The first 2 arguments are the mean and standard deviation## This example uses `rxnorm` directly in the modelrx <-function(){ model({ a <- rxnorm()})}et <- et(1, id =1:2)s <- rxSolve(rx, et)