dlbayes (version 0.1.0)

dlprior: Title Simulate the dirichlet laplace shrinkage prior

Description

This function generates random deviates from dirichlet laplace shrinkage prior and can plot the distribution function.

Usage

dlprior(hyper = 1/2, p = 1e+05, plt = TRUE, min = -5, max = 5,
  sigma = 1)

Arguments

hyper

important hyperparameter that related to posterior shrinkage scales and prior distribution

p

number of observations

plt

whether to plot the dirichlet laplace prior. default TRUE means plot the distribution

min

left point of the plot graph

max

right point of the plot graph

sigma

the value equals to normal noises' standard deviations

Value

beta

A p*1 vector. p observations from the distribution

Examples

# NOT RUN {
{theta=dlprior(hyper=1/2,p=100000,plt=TRUE,min=-5,max=5,sigma=1)}



# }