print.mgwnbr_model

Print method for mgwnbr_model objects

Fits a geographically weighted regression model with different scales
for each covariate. Uses the negative binomial distribution as default,
but also accepts the normal, Poisson, or logistic distributions.
Can fit the global versions of each regression and also the geographically
weighted alternatives with only one scale, since they are all particular
cases of the multiscale approach.
Hanchen Yu (2024). "Exploring Multiscale Geographically Weighted Negative Binomial Regression", Annals of the American Association of Geographers <doi:10.1080/24694452.2023.2289986>.
Fotheringham AS, Yang W, Kang W (2017). "Multiscale Geographically Weighted Regression (MGWR)", Annals of the American Association of Geographers <doi:10.1080/24694452.2017.1352480>.
Da Silva AR, Rodrigues TCV (2014). "Geographically Weighted Negative Binomial Regression - incorporating overdispersion", Statistics and Computing <doi:10.1007/s11222-013-9401-9>.

Juliana Rosa

mgwnbr

Multiscale Geographically Weighted Negative Binomial Regression

Jéssica Vasconcelos

Alan da Silva

print.mgwnbr_model function

<dl><dt>x</dt>
<dd>An object of class <code>mgwnbr_model</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to other methods.</dd></dl>

Arguments

Print method for mgwnbr_model objects — print.mgwnbr_model

<dl>

<dt>x</dt>
<dd>An object of class <code>mgwnbr_model</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to other methods.</dd>

</dl>

print.mgwnbr_model: Print method for mgwnbr_model objects

Description

Usage

Value

Arguments