Simulate random normal variable from threefry generator

## 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

## Examples

```
# \donttest{
## Use threefry engine
rxnorm(n = 10) # with rxnorm you have to explicitly state n
#> [1] -0.2555152 1.4319676 1.0230258 -1.1721454 -0.3754985 0.3671810
#> [7] -1.5647155 -1.0256761 -1.0150645 -0.3338902
rxnorm(n = 10, ncores = 2) # You can parallelize the simulation using openMP
#> [1] -1.15607687 -0.39531103 -0.06125106 0.35904395 -0.11068409 1.71211888
#> [7] 0.22957639 -0.97868175 -0.59508481 -0.95824074
rxnorm(2, 3) ## The first 2 arguments are the mean and standard deviation
#> [1] -1.896017
## This example uses `rxnorm` directly in the model
rx <- function() {
model({
a <- rxnorm()
})
}
et <- et(1, id = 1:2)
s <- rxSolve(rx, et)
#>
#>
#>
#>
#> using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’
# }
```