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: 2024-05-17 16:08:05 UTC; User
Repository: CRAN
Date/Publication: 2024-05-17 16:30:02 UTC
Built: R 4.6.0; ; 2026-04-29 21:45:02 UTC; unix
