Package: gwzinbr
Type: Package
Title: Geographically Weighted Zero Inflated Negative Binomial
        Regression
Version: 0.1.0
Authors@R: c(
        person("Jéssica", "Vasconcelos", , "jehh.vasconcelosabreu@gmail.com", role=c("aut", "cre")),
        person("Juliana", "Rosa", , "julianamrosa00@gmail.com", role="aut"),
	person("Alan", "da Silva", , "alansilva@unb.br", role="aut"))
Maintainer: Jéssica Vasconcelos <jehh.vasconcelosabreu@gmail.com>
Description: Fits a geographically weighted regression model using zero
        inflated probability distributions. Has the zero inflated
        negative binomial distribution (zinb) as default, but also
        accepts the zero inflated Poisson (zip), negative binomial
        (negbin) and Poisson distributions. Can also fit the global
        versions of each regression model. Da Silva, A. R. & De Sousa,
        M. D. R. (2023). "Geographically weighted zero-inflated
        negative binomial regression: A general case for count data",
        Spatial Statistics <doi:10.1016/j.spasta.2023.100790>.
        Brunsdon, C., Fotheringham, A. S., & Charlton, M. E. (1996).
        "Geographically weighted regression: a method for exploring
        spatial nonstationarity", Geographical Analysis,
        <doi:10.1111/j.1538-4632.1996.tb00936.x>. Yau, K. K. W., Wang,
        K., & Lee, A. H. (2003). "Zero-inflated negative binomial mixed
        regression modeling of over-dispersed count data with extra
        zeros", Biometrical Journal, <doi:10.1002/bimj.200390024>.
License: GPL-3
Encoding: UTF-8
Imports: sp
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
LazyData: true
Repository: https://jessicavasconcelos.r-universe.dev
Date/Publication: 2024-06-02 21:45:55 UTC
RemoteUrl: https://github.com/jessicavasconcelos/gwzinbr
RemoteRef: HEAD
RemoteSha: e7b6bb2e34b0732612db8fc0421f42d97f55b7a7
NeedsCompilation: no
Packaged: 2026-07-12 08:41:23 UTC; root
Author: Jéssica Vasconcelos [aut, cre],
  Juliana Rosa [aut],
  Alan da Silva [aut]
Depends: R (>= 3.5.0)