interaction_detector

Identify the interaction between different risk factors, that is, assess whether factors X1 and X2 together
increase or decrease the explanatory power of the dependent variable Y, or whether the effects of these factors
on Y are independent of each other.

Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, while also taking into account local spatial dependencies, spatial interpretability, complex spatial interactions, and robust spatial stratification. Additionally, it supports the spatial stratified heterogeneity family established in academic literature.

Wenbo Lv

gdverse

Analysis of Spatial Stratified Heterogeneity

Yangyang Lei

Fangmei Liu

Jianwu Yan

Yongze Song

Wufan Zhao

interaction_detector function

<dl><dt>y</dt>
<dd>Dependent variable, continuous numeric vector.</dd>
<dt>x1</dt>
<dd>Covariate \(X_1\), <code>factor</code>, <code>character</code> or <code>discrete numeric</code>.</dd>
<dt>x2</dt>
<dd>Covariate \(X_2\), <code>factor</code>, <code>character</code> or <code>discrete numeric</code>.</dd></dl>

Arguments

Wenbo Lv <a href="/link/lyu.geosocial%40gmail.com?package=gdverse&version=1.3-1" data-mini-rdoc="gdverse::lyu.geosocial@gmail.com">lyu.geosocial@gmail.com</a>

Author

interaction detector — interaction_detector

<dl>

<dt>y</dt>
<dd>Dependent variable, continuous numeric vector.</dd>


<dt>x1</dt>
<dd>Covariate \(X_1\), <code>factor</code>, <code>character</code> or <code>discrete numeric</code>.</dd>


<dt>x2</dt>
<dd>Covariate \(X_2\), <code>factor</code>, <code>character</code> or <code>discrete numeric</code>.</dd>

</dl>

Wenbo Lv <a href='mailto:lyu.geosocial@gmail.com'>lyu.geosocial@gmail.com</a>

interaction_detector: interaction detector

Description

Usage

Value

Arguments

Author

Examples