logLik.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

logLik.hgwrm function

<dl><dt>object</dt>
<dd>An <code>hgwrm</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Log likelihood function — logLik.hgwrm

<dl>

<dt>object</dt>
<dd>An <code>hgwrm</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

logLik.hgwrm: Log likelihood function

Description

Usage

Value

Arguments