coef.hgwrm

This model divides coefficients into three types,
i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>.
If data have spatial hierarchical structures (especially are overlapping on some locations),
it is worth trying this model to reach better fitness.

Yigong Hu

hgwrr

Hierarchical and Geographically Weighted Regression

coef.hgwrm function

<dl><dt>object</dt>
<dd>An <code>hgwrm</code> object returned by <code>hgwr()</code>.</dd>
<dt>...</dt>
<dd>Parameter received from other functions.</dd></dl>

Arguments

Get estimated coefficients. — coef.hgwrm

<dl>

<dt>object</dt>
<dd>An <code>hgwrm</code> object returned by <code>hgwr()</code>.</dd>


<dt>...</dt>
<dd>Parameter received from other functions.</dd>

</dl>

coef.hgwrm: Get estimated coefficients.

Description

Usage

Value

Arguments

See Also