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: | 0.2.1 |
| Depends: | R (≥ 2.10) |
| Suggests: | optmatch, testthat, knitr, rmarkdown |
| Published: | 2020-08-03 |
| 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 |
| CRAN checks: | PCAmatchR results |
| Reference manual: | PCAmatchR.pdf |
| Vignettes: |
PCAmatchR: Match Cases to Controls Based on Genotype Principal Components |
| Package source: | PCAmatchR_0.2.1.tar.gz |
| Windows binaries: | r-devel: PCAmatchR_0.2.1.zip, r-release: PCAmatchR_0.2.1.zip, r-oldrel: PCAmatchR_0.2.1.zip |
| macOS binaries: | r-release: PCAmatchR_0.2.1.tgz, r-oldrel: PCAmatchR_0.2.1.tgz |
| Old sources: | PCAmatchR archive |
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