Package: gwrf
Title: Geographically Weighted Random Forests
Version: 0.1.1.9000
Authors@R: 
    person(
        "Erich", "Seamon",
        email = "erich_seamon@baylor.edu",
        role = c("aut", "cre", "cph")
    )
Description: Fits geographically weighted random forest models using
        spatially localized training neighborhoods and 'ranger' as the
        random forest engine. Supports fixed-distance and adaptive
        neighborhoods defined by observation rows or unique spatial
        locations, including repeated observations at the same
        location. Provides local predictions and permutation-based
        variable importance for examining spatial variation in
        predictive relationships. The geographical random forest
        approach is described by Georganos et al. (2021)
        <doi:10.1080/10106049.2019.1595177>, and the 'ranger' engine by
        Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01>.
License: MIT + file LICENSE
URL: https://github.com/hac-lab/gwrf
BugReports: https://github.com/hac-lab/gwrf/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Imports: ranger, tibble, dplyr, pbapply, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Repository: https://hac-lab.r-universe.dev
Date/Publication: 2026-08-26 18:10:46 UTC
RemoteUrl: https://github.com/hac-lab/gwrf
RemoteRef: HEAD
RemoteSha: 611d16f5cfbc16350e0585dccabe1f3d74991087
NeedsCompilation: no
Packaged: 2026-10-25 11:40:20 UTC; root
Author: Erich Seamon [aut, cre, cph]
Maintainer: Erich Seamon <erich_seamon@baylor.edu>