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

rxnorm {RxODE} | R Documentation

## 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)

[Package RxODE version 1.1.4 Index]