fitted.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

fitted.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 fitted response. — fitted.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>

fitted.hgwrm: Get fitted response.

Description

Usage

Value

Arguments

See Also