rxnormV: Simulate random normal variable from threefry/vandercorput...

In nlmixrdevelopment/RxODE: Facilities for Simulating from ODE-Based Models

Simulate random normal variable from threefry/vandercorput generator

Description

Simulate random normal variable from threefry/vandercorput generator

Usage

rxnorm(mean = 0, sd = 1, n = 1L, ncores = 1L)

rxnormV(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 uses the vandercorput generator

Value

normal random number deviates

Examples

## Use threefry engine

rxnorm(n = 10) # with rxnorm you have to explicitly state n
rxnorm(n = 10, ncores = 2) # You can parallelize the simulation using openMP

rxnorm(2, 3) ## The first 2 arguments are the mean and standard deviation


## This example uses `rxnorm` directly in the model

rx <- RxODE({
  a <- rxnorm()
})

et <- et(1, id = 1:2)

s <- rxSolve(rx, et)

## Use vandercorput generator

rxnormV(n = 10) # with rxnorm you have to explicitly state n
rxnormV(n = 10, ncores = 2) # You can parallelize the simulation using openMP

rxnormV(2, 3) ## The first 2 arguments are the mean and standard deviation


## This example uses `rxnormV` directly in the model

rx <- RxODE({
  a <- rxnormV()
})

et <- et(1, id = 1:2)

s <- rxSolve(rx, et)

nlmixrdevelopment/RxODE documentation built on April 10, 2022, 5:36 a.m.