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: 2023-10-15 20:48:51 UTC; user
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>
Repository: CRAN
Date/Publication: 2023-10-15 21:50:18 UTC
Built: R 4.6.0; ; 2026-04-26 18:39:44 UTC; unix
