Package: mgwnbr 0.2.0
mgwnbr: Multiscale Geographically Weighted Negative Binomial Regression
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>.
Authors:
mgwnbr_0.2.0.tar.gz
mgwnbr_0.2.0.zip(r-4.5)mgwnbr_0.2.0.zip(r-4.4)mgwnbr_0.2.0.zip(r-4.3)
mgwnbr_0.2.0.tgz(r-4.4-any)mgwnbr_0.2.0.tgz(r-4.3-any)
mgwnbr_0.2.0.tar.gz(r-4.5-noble)mgwnbr_0.2.0.tar.gz(r-4.4-noble)
mgwnbr_0.2.0.tgz(r-4.4-emscripten)mgwnbr_0.2.0.tgz(r-4.3-emscripten)
mgwnbr.pdf |mgwnbr.html✨
mgwnbr/json (API)
NEWS
# Install 'mgwnbr' in R: |
install.packages('mgwnbr', repos = c('https://julianamrosa.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/julianamrosa/mgwnbr/issues
- georgia - Georgia dataset
Last updated 6 months agofrom:2d09f752ec. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:mgwnbr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Georgia dataset | georgia |
Multiscale Geographically Weighted Negative Binomial Regression | mgwnbr |