set_NG: Set up a Normal-Gamma prior

In bsreg: Bayesian Spatial Regression Models

Set up a Normal-Gamma prior

Description

Set up a Normal-Gamma prior

Usage

set_NG(
  mu = 0,
  precision = 1e-08,
  shape = 0.01,
  rate = 0.01,
  beta = NULL,
  sigma = NULL
)

set_SNG(
  lambda_a = 0.01,
  lambda_b = 0.01,
  theta_scale = 0,
  theta_a = 1,
  lambda = 1,
  tau = 10,
  theta = 0.1
)

set_HS(lambda = 1, tau = 1, zeta = 1, nu = 1)

Arguments

mu	Numeric scalar or vector with the prior mean of 'beta'.
precision	Numeric scalar or matrix with the prior precision of 'beta'. Not used for shrinkage priors.
shape, rate	Numeric scalars with the prior shape and rate of 'sigma'.
lambda_a, lambda_b	Numeric scalars with the prior shape and rate of 'lambda'.
theta_scale	Numeric scalar with the proposal scale of 'theta'. Defaults to zero for a fixed value.
theta_a	Numeric scalar with the prior rate of 'theta'.
lambda, tau, theta, zeta, nu, beta, sigma	Numerics with starting values for the respective parameter.

Value

Returns a list with priors and settings.

bsreg documentation built on March 18, 2022, 5:36 p.m.