set_intercept

print.interceptspec

is.interceptspec

knit_print.interceptspec

Set Normal prior hyperparameters for constant term

Tools to model and forecast multivariate time series
including Bayesian Vector heterogeneous autoregressive (VHAR) model
by Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>).
'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.

Young Geun Kim

bvhar

Bayesian Vector Heterogeneous Autoregressive Modeling

Changryong Baek

set_intercept function

<dl><dt>mean</dt>
<dd>Normal mean of constant term</dd>
<dt>sd</dt>
<dd>Normal standard deviance for constant term</dd>
<dt>x</dt>
<dd>Any object</dd>
<dt>digits</dt>
<dd>digit option to print</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Prior for Constant Term — set_intercept

<dl>

<dt>mean</dt>
<dd>Normal mean of constant term</dd>


<dt>sd</dt>
<dd>Normal standard deviance for constant term</dd>


<dt>x</dt>
<dd>Any object</dd>


<dt>digits</dt>
<dd>digit option to print</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

set_intercept: Prior for Constant Term

Description

Usage

Arguments