plot_model

<code>plot_model()</code> visualizes any object of class <code>model</code> with comparison between real,
fitted values between model of <code>m</code> breaks and null model of <code>0</code> breaks with options
for confidence interval of break date.

Functions provide comprehensive treatments for estimating, inferring, testing and model selecting in linear regression models with structural breaks. The tests, estimation methods, inference and information criteria implemented are discussed in Bai and Perron (1998) "Estimating and Testing Linear Models with Multiple Structural Changes" <doi:10.2307/2998540>.

Linh Nguyen

mbreaks

Estimation and Inference for Structural Breaks in Linear
Regression Models

Yohei Yamamoto

Pierre Perron

plot_model function

<dl><dt>model</dt>
<dd>object of class <code>model</code> in <code>mbreaks</code> package</dd>
<dt>CI</dt>
<dd>confidence intervals for break date and coefficient estimates visualize in terms of
fitted values</dd>
<dt>title</dt>
<dd>title of the graph</dd></dl>

Arguments

Plot structural change model — plot_model

<dl>

<dt>model</dt>
<dd>object of class <code>model</code> in <code>mbreaks</code> package</dd>


<dt>CI</dt>
<dd>confidence intervals for break date and coefficient estimates visualize in terms of
fitted values</dd>


<dt>title</dt>
<dd>title of the graph</dd>

</dl>

plot_model: Plot structural change model

Description

Usage

Value

Arguments

Examples