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.
Version: 0.6-1 Depends: R (≥ 3.5.0), sf, stats, utils, MASS Imports: Rcpp (≥ 1.0.8) LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), furrr, progressr Published: 2024-11-16 DOI: 10.32614/CRAN.package.hgwrr Author: Yigong Hu [aut, cre], Richard Harris [aut], Richard Timmerman [aut] Maintainer: Yigong Hu <yigong.hu at bristol.ac.uk> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/HPDell/hgwrr/, https://hpdell.github.io/hgwrr/ NeedsCompilation: yes SystemRequirements: GNU make Materials: NEWS CRAN checks: hgwrr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hgwrr to link to this page.
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