rNormalPrior returns a random vector generator

The return value is a function that generates random vectors of the same size as mean and sd from a multivariate normal distribution with independent components with mean "mean" and standard deviation "sd". The random vectors are returned as n rows of a matrix, where n is the only argument of the returned function.

Usage

rNormalPrior(mean, sd)

Arguments

mean: mean of the random variables (a vector)
sd: standard deviation of the random variables (same size vector as mean)

Value

an independentent multivariate normal random vector generating function: rprior(n), where n is the requested number of vectors (rows)

Examples

rnp<-rNormalPrior(mean=c(0,1,2),sd=c(1,2,3))
rnp(12)
#>              [,1]        [,2]      [,3]
#>  [1,]  0.71344025  1.99936029  1.855979
#>  [2,]  0.05629101 -0.84066982  7.050126
#>  [3,] -1.50338393 -0.08969677  4.536242
#>  [4,]  0.58183250  0.32855054  4.449145
#>  [5,] -2.12602728  2.58528791  5.202943
#>  [6,] -1.03912656 -0.16640457  2.308172
#>  [7,]  0.11358926  1.44939579  3.144362
#>  [8,] -0.88863279 -1.71372730  4.208007
#>  [9,] -0.30474337  2.92525315  1.363984
#> [10,] -0.99230322  1.68617608  4.040845
#> [11,] -0.55345831  1.97010493  1.178400
#> [12,] -0.41983615  1.75064990 -1.405844