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:Jianqing Fan, Tracy Ke, Sydney Li and Lucy Xia

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'))

Peer review:

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.

1.00 score 1 scripts 136 downloads 1 mentions 2 exports 9 dependencies

Last updated 8 years agofrom:a422eb64ac. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

Exports:pfa.gwaspfa.test

Dependencies:larslatticeMASSMatrixMatrixModelsPOETquantregSparseMsurvival