Package: mgwnbr
Type: Package
Title: Multiscale Geographically Weighted Negative Binomial Regression
Version: 0.3.0
Authors@R: c(
	person("Juliana", "Rosa", , "julianamrosa00@gmail.com", role=c("aut", "cre")),
	person("Jéssica", "Vasconcelos", , "jehh.vasconcelosabreu@gmail.com", role="aut"),
	person("Alan", "da Silva", , "alansilva@unb.br", role="aut"))
Maintainer: Juliana Rosa <julianamrosa00@gmail.com>
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
        <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>.
License: GPL-3
Encoding: UTF-8
Imports: sp
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
LazyData: true
Repository: https://julianamrosa.r-universe.dev
Date/Publication: 2025-10-01 19:33:03 UTC
RemoteUrl: https://github.com/julianamrosa/mgwnbr
RemoteRef: HEAD
RemoteSha: 36e9cc7365625d15767a5c791c18b377bc548201
NeedsCompilation: no
Packaged: 2026-07-14 06:06:25 UTC; root
Author: Juliana Rosa [aut, cre],
  Jéssica Vasconcelos [aut],
  Alan da Silva [aut]
Depends: R (>= 3.5.0)