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: |
0.3.3 |
Depends: |
R (≥ 3.5.0) |
Suggests: |
optmatch, testthat, knitr, rmarkdown, R.rsp |
Published: |
2022-12-01 |
DOI: |
10.32614/CRAN.package.PCAmatchR |
Author: |
Derek W. Brown
[aut, cre],
Mitchel J. Machiela
[aut],
Timothy A. Myers
[ctb],
NCI [cph, fnd] |
Maintainer: |
Derek W. Brown <derek9 at gwmail.gwu.edu> |
BugReports: |
https://github.com/machiela-lab/PCAmatchR/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/machiela-lab/PCAmatchR |
NeedsCompilation: |
no |
Citation: |
PCAmatchR citation info |
Materials: |
README, NEWS |
CRAN checks: |
PCAmatchR results |
Documentation:
Downloads:
Linking:
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