autoplot.summary.bvharsp

Draw heatmap for SSVS prior coefficients.

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

autoplot.summary.bvharsp function

<dl><dt>object</dt>
<dd>A <code>summary.bvharsp</code> object</dd>
<dt>point</dt>
<dd>Use point for sparsity representation</dd>
<dt>...</dt>
<dd>Other arguments passed on the <code><a href="https://ggplot2.tidyverse.org/reference/geom_tile.html">ggplot2::geom_tile()</a></code>.</dd></dl>

Arguments

Plot the Heatmap of SSVS Coefficients — autoplot.summary.bvharsp

<dl>

<dt>object</dt>
<dd>A <code>summary.bvharsp</code> object</dd>


<dt>point</dt>
<dd>Use point for sparsity representation</dd>


<dt>...</dt>
<dd>Other arguments passed on the <code><a href='https://ggplot2.tidyverse.org/reference/geom_tile.html'>ggplot2::geom_tile()</a></code>.</dd>

</dl>

autoplot.summary.bvharsp: Plot the Heatmap of SSVS Coefficients

Description

Usage

Value

Arguments