Package: lpc 1.0.2.1
lpc: Lassoed Principal Components for Testing Significance of Features
Implements the LPC method of Witten&Tibshirani(Annals of Applied Statistics 2008) for identification of significant genes in a microarray experiment.
Authors:
lpc_1.0.2.1.tar.gz
lpc_1.0.2.1.zip(r-4.5)lpc_1.0.2.1.zip(r-4.4)lpc_1.0.2.1.zip(r-4.3)
lpc_1.0.2.1.tgz(r-4.4-any)lpc_1.0.2.1.tgz(r-4.3-any)
lpc_1.0.2.1.tar.gz(r-4.5-noble)lpc_1.0.2.1.tar.gz(r-4.4-noble)
lpc_1.0.2.1.tgz(r-4.4-emscripten)lpc_1.0.2.1.tgz(r-4.3-emscripten)
lpc.pdf |lpc.html✨
lpc/json (API)
| # Install 'lpc' in R: |
| install.packages('lpc', repos = c('https://danielawitten.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 6 years agofrom:3bdb9d31bf. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:EstimateLPCFDREstimateTFDRLPCPlotFDRsPredictiveAdvantageprint.lpcfdrobjprint.lpcobjprint.tfdrobjPrintGeneList
Dependencies:
