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GGoutlieR  

Identify Individuals with Unusual Geo-Genetic Patterns
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]
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 12 Nov. 2024.
Previous versions and publish date:
1.0.0 (2023-06-09 11:12), 1.0.1 (2023-10-10 23:00)
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Complete documentation for GGoutlieR
Functions, R codes and Examples using the GGoutlieR R package
Full GGoutlieR package functions and examples
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