prior_n: Normal Prior distribution

In bayesdistreg: Bayesian Distribution Regression

Description

This normal prior distribution is a product of univariate N(mu,sig)

Usage

prior_n(pars, mu, sig, Log = FALSE)

Arguments

pars	parameter values
mu	mean value of each parameter value
sig	standard deviation of each parameter value
Log	logical to take the log of prior or not (defaults to FALSE)

Value

val Product of probability values for each parameter

Examples

prior_n(rep(0,6),0,10,Log = TRUE) #log of prior
prior_n(rep(0,6),0,10,Log = FALSE) #no log

bayesdistreg documentation built on May 1, 2019, 8:03 p.m.