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,] -0.2410135  1.29636515  1.010766
#>  [2,] -1.0214183  1.96307918  9.055210
#>  [3,]  1.1582062  0.67170884  5.322609
#>  [4,]  2.2279330  0.03786764 -1.366797
#>  [5,]  0.1368922  2.11521990  1.909340
#>  [6,]  0.9390624  1.17172195  5.968638
#>  [7,] -0.4584877 -0.33573320  3.369970
#>  [8,]  0.6942220 -1.26469488  1.472362
#>  [9,]  0.3353003  2.63892133 -2.543640
#> [10,]  0.8622715 -4.09067731  2.313905
#> [11,] -1.6093373 -0.71021108  3.022323
#> [12,] -1.0227108  1.51836880  1.902129