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GGoutlieR
View on CRAN: Click
here
Download and install GGoutlieR package within the R console
Install from CRAN:
install.packages("GGoutlieR")
Install from Github:
library("remotes")
install_github("cran/GGoutlieR")
Install by package version:
library("remotes")
install_version("GGoutlieR", "1.0.2")
Attach the package and use:
library("GGoutlieR")
Maintained by
Che-Wei Chang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-09
Latest Update: 2023-10-15
Description:
Identify and visualize individuals with unusual association patterns of genetics and geography using the approach of Chang and Schmid (2023) . 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.
How to cite:
Che-Wei Chang (2023). GGoutlieR: Identify Individuals with Unusual Geo-Genetic Patterns. R package version 1.0.2, https://cran.r-project.org/web/packages/GGoutlieR. Accessed 24 Nov. 2024.
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