Package: mgwrhw
Title: Displays GWR (Geographically Weighted Regression) and Mixed GWR
        Output and Map
Version: 1.1.1.5
Authors@R: 
    c(person("Asy-Syaja'ul Haqqul Amin", role = c("cre", "aut"), email = "haqqul.amin06@gmail.com"),
	person("Waris Marsisno", role = "aut"))
Description: Display processing results using the GWR (Geographically
        Weighted Regression) method, display maps, and show the results
        of the Mixed GWR (Mixed Geographically Weighted Regression)
        model which automatically selects global variables based on
        variability between regions. This function refers to Yasin, &
        Purhadi. (2012). "Mixed Geographically Weighted Regression
        Model (Case Study the Percentage of Poor Households in
        Mojokerto 2008)". European Journal of Scientific Research,
        188-196.
        <https://www.researchgate.net/profile/Hasbi-Yasin-2/publication/289689583_Mixed_geographically_weighted_regression_model_case_study_The_percentage_of_poor_households_in_Mojokerto_2008/links/58e46aa40f7e9bbe9c94d641/Mixed-geographically-weighted-regression-model-case-study-The-percentage-of-poor-households-in-Mojokerto-2008.pdf>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
LazyData: true
LazyDataCompression: xz
Author: Asy-Syaja'ul Haqqul Amin [cre, aut], Waris Marsisno [aut]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
Imports: spgwr, sf, psych, ggplot2, dplyr, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-07-16 06:51:22 UTC; root
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libicu-dev libssl-dev libproj-dev libsqlite3-dev
        libudunits2-dev
Repository: https://haqqulamin06.r-universe.dev
Date/Publication: 2024-05-18 02:38:47 UTC
RemoteUrl: https://github.com/cran/mgwrhw
RemoteRef: HEAD
RemoteSha: 302585e987ed6da265711c346ad78836c86c47e8