gNormalPrior creates the gradient function of a multivariate normal distribution with independent components, in log-space

The returned density function takes vectors of the same size as mean and sd. It returns the gradient of the logarithm of the multivariate normal distribution, with mean mean and standard deviation sd.

Usage

gNormalPrior(mean, sd)

Arguments

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

Value

a probability density function on vectors with the same length as mean and sd.

Examples

dnp <- dNormalPrior(mean=c(0,1,2),sd=c(1,2,3))
dnp(c(0.5,1.5,2.5))
#> [1] 0.008926651