Package: GGoutlieR
Type: Package
Title: Identify Individuals with Unusual Geo-Genetic Patterns
Version: 1.0.2
Authors@R: 
  c(person(given = "Che-Wei",
           family = "Chang",
           role = c("aut", "cre"),
           email = "cheweichang92@gmail.com",
           comment = c(ORCID = "0000-0001-6704-3732")),
    person(given = "Karl",
           family = "Schmid",
           role = c("ths"),
           email = "karl.schmid@uni-hohenheim.de",
           comment = c(ORCID = "0000-0001-5129-895X"),
           ))
Description: Identify and visualize individuals with unusual
        association patterns of genetics and geography using the
        approach of Chang and Schmid (2023)
        <doi:10.1101/2023.04.06.535838>. It detects potential outliers
        that violate the isolation-by-distance assumption using the
        K-nearest neighbor approach. You can obtain a table of outliers
        with statistics and visualize unusual geo-genetic patterns on a
        geographical map. This is useful for landscape genomics studies
        to discover individuals with unusual geography and genetics
        associations from a large biological sample.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: stats4, FastKNN, foreach, doParallel, parallel, scales,
        RColorBrewer, ggforce, rlang, stats, tidyr, utils,
        rnaturalearth, sf, ggplot2, cowplot
Suggests: rnaturalearthdata
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2026-06-18 07:04:05 UTC; root
Author: Che-Wei Chang [aut, cre]
        (<https://orcid.org/0000-0001-6704-3732>), Karl Schmid [ths]
        (<https://orcid.org/0000-0001-5129-895X>)
Maintainer: Che-Wei Chang <cheweichang92@gmail.com>
Config/pak/sysreqs: libabsl-dev cmake libfontconfig1-dev
        libfreetype6-dev libgdal-dev gdal-bin libgeos-dev libicu-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://cheweichang1992.r-universe.dev
Date/Publication: 2023-10-15 22:30:37 UTC
RemoteUrl: https://github.com/cran/GGoutlieR
RemoteRef: HEAD
RemoteSha: 83ef6c0a1269c0af94fd13c8b0d3649c209ed9bd