add_priors: Add Priors to Bayesian Models A generic function used to...

In bvartools: Bayesian Inference of Vector Autoregressive and Error Correction Models

Add Priors to Bayesian Models A generic function used to generate prior specifications for a list of models. The function invokes particular methods which depend on the class of the first argument.

Description

Add Priors to Bayesian Models

A generic function used to generate prior specifications for a list of models. The function invokes particular methods which depend on the class of the first argument.

Usage

add_priors(object, ...)

Arguments

object	an object of class "bvarmodel" or "bvecmodel".
...	arguments passed forward to method.

Examples

# Load data
data("e1")
e1 <- diff(log(e1)) * 100

# Obtain data matrices
model <- gen_var(e1, p = 2, deterministic = 2,
                 iterations = 100, burnin = 10)
# Chosen number of iterations and burn-in draws should be much higher.

# Add prior specifications
model <- add_priors(model)

bvartools documentation built on May 29, 2024, 5:32 a.m.