Gradient of the logarithm of a normal prior

This makes a function that returns grad(log(dprior(x))) The returned function implictly remembers the parameters of the normal distribution.

Usage

gradLog_NormalPrior(mean = 0, sd = 1)

Arguments

mean

vector of mu values

sd

vector of standard deviation values

Value

g(x) a closure that remembers mean and sd from its creation