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PCAmatchR  

Match Cases to Controls Based on Genotype Principal Components
View on CRAN: Click here


Download and install PCAmatchR package within the R console
Install from CRAN:
install.packages("PCAmatchR")

Install from Github:
library("remotes")
install_github("cran/PCAmatchR")

Install by package version:
library("remotes")
install_version("PCAmatchR", "0.3.3")



Attach the package and use:
library("PCAmatchR")
Maintained by
Derek W. Brown
[Scholar Profile | Author Map]
First Published: 2020-04-24
Latest Update: 2022-12-01
Description:
Matches cases to controls based on genotype principal components (PC). In order to produce better results, matches are based on the weighted distance of PCs where the weights are equal to the % variance explained by that PC. A weighted Mahalanobis distance metric (Kidd et al. (1987) ) is used to determine matches.
How to cite:
Derek W. Brown (2020). PCAmatchR: Match Cases to Controls Based on Genotype Principal Components. R package version 0.3.3, https://cran.r-project.org/web/packages/PCAmatchR. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.1.6 (2020-04-24 13:20), 0.2.1 (2020-08-04 01:00), 0.3.0 (2021-01-10 16:20), 0.3.2 (2022-03-02 01:10)
Other packages that cited PCAmatchR R package
View PCAmatchR citation profile
Other R packages that PCAmatchR depends, imports, suggests or enhances
Complete documentation for PCAmatchR
Functions, R codes and Examples using the PCAmatchR R package
Some associated functions: PCs_1000G . eigenvalues_1000G . eigenvalues_all_1000G . match_maker . plot_maker . 
Some associated R codes: PCs_1000G.R . eigenvalues_1000G.R . eigenvalues_all_1000G.R . match_maker.R . plot_maker.R .  Full PCAmatchR package functions and examples
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