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

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