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mgwnbr  

Multiscale Geographically Weighted Negative Binomial Regression
View on CRAN: Click here


Download and install mgwnbr package within the R console
Install from CRAN:
install.packages("mgwnbr")

Install from Github:
library("remotes")
install_github("cran/mgwnbr")

Install by package version:
library("remotes")
install_version("mgwnbr", "0.2.0")



Attach the package and use:
library("mgwnbr")
Maintained by
Juliana Rosa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-23
Latest Update: 2024-02-23
Description:
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 . Fotheringham AS, Yang W, Kang W (2017). "Multiscale Geographically Weighted Regression (MGWR)", Annals of the American Association of Geographers . Da Silva AR, Rodrigues TCV (2014). "Geographically Weighted Negative Binomial Regression - incorporating overdispersion", Statistics and Computing .
How to cite:
Juliana Rosa (2024). mgwnbr: Multiscale Geographically Weighted Negative Binomial Regression. R package version 0.2.0, https://cran.r-project.org/web/packages/mgwnbr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2024-02-23 20:30)
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Complete documentation for mgwnbr
Functions, R codes and Examples using the mgwnbr R package
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