Package: hgwrr
Type: Package
Title: Hierarchical and Geographically Weighted Regression
Version: 0.3-0
Date: 2023-05-24
Author: Yigong Hu, Richard Harris, Richard Timmerman
Maintainer: Yigong Hu <yigong.hu@bristol.ac.uk>
Description: This model divides coefficients into three types,
        i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>.
        If data have spatial hierarchical structures (especially are overlapping on some locations),
        it is worth trying this model to reach better fitness.
License: GPL (>= 2)
URL: https://github.com/HPDell/hgwr/, https://hpdell.github.io/hgwr/
Imports: Rcpp (>= 1.0.8)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0), stats, utils
SystemRequirements: GNU make
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-05-26 09:38:35 UTC; yigong
Repository: CRAN
Date/Publication: 2023-05-26 10:10:02 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-04-07 23:41:33 UTC; unix
Archs: hgwrr.so.dSYM
