make_prior: Create Prior Distribution

In manschmi/blm: Bayesian Linear Regression

Description

Creates a prior distribution for a blm object

Usage

make_prior(mean, alpha, dim = length(mean))

Arguments

mean	mean or a vector of the mean(s) of the distribution.
alpha	single value or vector for precision(s) of the distribution.
dim	number of variables for the distribution.

Details

Creates a multivariate normal distribution object of class mvnd that holds means and covariance covar of a multivariate normal distribution. If number of means or covars is less than dim, the values provided are expanded to fill the multivariate distribution.

Value

An object of class mvnd with provided means and covariances computed as 1/alpha.

Examples

  make_prior(0,1,2)
 
  make_prior(c(0,1),c(1,2))
  

manschmi/blm documentation built on May 21, 2019, 11:25 a.m.