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.

Version: 1.1
Depends: lars, POET, quantreg
Suggests: MASS
Published: 2016-07-04
Author: Jianqing Fan, Tracy Ke, Sydney Li and Lucy Xia
Maintainer: Tracy Ke <zke at galton.uchicago.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: pfa results

Documentation:

Reference manual: pfa.pdf

Downloads:

Package source: pfa_1.1.tar.gz
Windows binaries: r-devel: pfa_1.1.zip, r-release: pfa_1.1.zip, r-oldrel: pfa_1.1.zip
macOS binaries: r-release (arm64): pfa_1.1.tgz, r-oldrel (arm64): pfa_1.1.tgz, r-release (x86_64): pfa_1.1.tgz, r-oldrel (x86_64): pfa_1.1.tgz
Old sources: pfa archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pfa to link to this page.