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
RoxygenNote: 7.3.1
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-08 19:07:35 UTC; Juliana Rosa
Author: Jéssica Vasconcelos [aut, cre],
  Juliana Rosa [aut],
  Alan da Silva [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-06-10 17:20:06 UTC
Built: R 4.6.0; ; 2026-04-25 19:26:35 UTC; unix
