Package: PCFAM 1.0
PCFAM: Computation of Ancestry Scores with Mixed Families and Unrelated Individuals
We provide several algorithms to compute the genotype ancestry scores (such as eigenvector projections) in the case where highly correlated individuals are involved.
Authors:
PCFAM_1.0.tar.gz
PCFAM_1.0.zip(r-4.7-any)PCFAM_1.0.zip(r-4.6-any)PCFAM_1.0.zip(r-4.5-any)
PCFAM_1.0.tgz(r-4.6-any)PCFAM_1.0.tgz(r-4.5-any)
PCFAM_1.0.tar.gz(r-4.7-any)PCFAM_1.0.tar.gz(r-4.6-any)
PCFAM_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PCFAM/json (API)
| # Install 'PCFAM' in R: |
| install.packages('PCFAM', repos = c('https://yihuizhou.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ea48397854. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 83 | ||
| source / vignettes | OK | 135 | ||
| linux-release | OK | 89 | ||
| macos-release | OK | 160 | ||
| macos-oldrel | OK | 147 | ||
| windows-devel | OK | 46 | ||
| windows-release | OK | 50 | ||
| windows-oldrel | OK | 55 | ||
| wasm-release | OK | 86 |
Exports:colcentercov.functionfamilyavefastcovfindfamiliesgr.pcams.pcamysqrtmperfectwhitenresidualizerowcolrowscale
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Computation of ancestry scores with mixed families and unrelated individuals | PCFAM-package PCFAM |
| column centering of the data matrix | colcenter |
| Sample covariance calculator | cov.function |
| Family average approach | familyave |
| Fast covariance function | fastcov |
| Find families | findfamilies |
| The geometric rotation approach | gr.pca |
| The matrix substitution approach | ms.pca |
| Matrix square root function | mysqrtm |
| The covariance preserving whitening function. | perfectwhiten |
| Residualization and scale of the original genotype data | residualize |
| Indicators for of the row and column of the original matrix | rowcol |
| Scale each row of a matrix | rowscale |