Package: gwrf
Title: Geographically Weighted Random Forests
Version: 0.1.1
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
Imports: ranger, tibble, dplyr, pbapply, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-08-10 17:36:46 UTC; seamone
Author: Erich Seamon [aut, cre, cph]
Maintainer: Erich Seamon <erich_seamon@baylor.edu>
Repository: CRAN
Date/Publication: 2026-08-24 14:50:08 UTC
Built: R 4.6.0; ; 2026-08-24 16:47:44 UTC; unix
