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,] -0.35612442 -1.12892842  5.2313496
#>  [2,]  1.18157557  1.39678419  0.7987843
#>  [3,]  0.61615428  4.94831350  7.6539870
#>  [4,] -1.58862055 -0.07984633 -1.5083844
#>  [5,]  0.55910599 -2.63869449  3.1800319
#>  [6,]  0.04213411  3.35932835  1.2292365
#>  [7,] -1.05633610  1.39755441  3.9516007
#>  [8,]  0.34391334  3.95506462  2.2160771
#>  [9,]  2.12644453 -1.95239381  3.2236655
#> [10,]  1.39397780  1.72055659  3.9636508
#> [11,]  1.05215542 -2.95911025  5.6251568
#> [12,] -0.16928008  1.59005951  5.7990218