PCAmatchR: Match Cases to Controls Based on Genotype Principal Components

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) <doi:10.1016/0031-3203(87)90066-5>) is used to determine matches.

Version: 0.3.0
Depends: R (≥ 2.10)
Suggests: optmatch, testthat, knitr, rmarkdown
Published: 2021-01-10
Author: Derek W. Brown [aut, cre], Mitchel J. Machiela [aut], Timothy A. Myers [ctb], NCI [cph, fnd]
Maintainer: Derek W. Brown <derek.brown at nih.gov>
BugReports: https://github.com/machiela-lab/PCAmatchR/issues
License: MIT + file LICENSE
URL: https://github.com/machiela-lab/PCAmatchR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: PCAmatchR results

Documentation:

Reference manual: PCAmatchR.pdf
Vignettes: PCAmatchR: Match Cases to Controls Based on Genotype Principal Components

Downloads:

Package source: PCAmatchR_0.3.0.tar.gz
Windows binaries: r-devel: PCAmatchR_0.3.0.zip, r-release: PCAmatchR_0.3.0.zip, r-oldrel: PCAmatchR_0.3.0.zip
macOS binaries: r-release (arm64): PCAmatchR_0.3.0.tgz, r-release (x86_64): PCAmatchR_0.3.0.tgz, r-oldrel: PCAmatchR_0.3.0.tgz
Old sources: PCAmatchR archive

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