Package: pfa 1.1
Tracy Ke
pfa: Estimates False Discovery Proportion Under Arbitrary Covariance Dependence
Estimate the false discovery proportion (FDP) by Principal Factor Approximation method with general known and unknown covariance dependence.
Authors:
pfa_1.1.tar.gz
pfa_1.1.tar.gz(r-4.5-noble)pfa_1.1.tar.gz(r-4.4-noble)
pfa_1.1.tgz(r-4.4-emscripten)pfa_1.1.tgz(r-4.3-emscripten)
pfa.pdf |pfa.html✨
pfa/json (API)
| # Install 'pfa' in R: |
| install.packages('pfa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- CEU - CCT8 genome-wise association data on CEU population
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:a422eb64ac. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-linux | OK | Sep 12 2024 |
Dependencies:larslatticeMASSMatrixMatrixModelsPOETquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CCT8 genome-wise association data on CEU population | CEU |
| Estimates False Discovery Proportion Under Arbitrary Covariance Dependence | pfa.gwas pfa.test |