set_intercept: Prior for Constant Term

In bvhar: Bayesian Vector Heterogeneous Autoregressive Modeling

Prior for Constant Term

Description

Set Normal prior hyperparameters for constant term

Usage

set_intercept(mean = 0, sd = 0.1)

## S3 method for class 'interceptspec'
print(x, digits = max(3L, getOption("digits") - 3L), ...)

is.interceptspec(x)

## S3 method for class 'interceptspec'
knit_print(x, ...)

Arguments

mean	Normal mean of constant term
sd	Normal standard deviance for constant term
x	Any object
digits	digit option to print
...	not used

bvhar documentation built on April 4, 2025, 5:22 a.m.