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,]  1.9741567  4.7693246 -2.765862
#>  [2,] -0.5399232 -1.3389229  3.677318
#>  [3,] -1.8193472  1.7866879  2.126402
#>  [4,]  1.1796642  0.4861576 -1.169008
#>  [5,]  0.1987772  2.3010671  3.031740
#>  [6,]  1.4775323  1.1440514  8.379334
#>  [7,] -1.4761969  1.8157770  6.181933
#>  [8,]  0.3602783  2.3091005  5.156466
#>  [9,] -1.9795551  3.4167712  1.492160
#> [10,]  0.2950298  3.5326812 -1.406030
#> [11,] -1.1310538  1.2199868  4.558716
#> [12,] -0.2343379  5.1733771  1.667242