pfa: Estimates False Discovery Proportion Under Arbitrary Covariance Dependence
Version 1.1

Estimate the false discovery proportion (FDP) by Principal Factor Approximation method with general known and unknown covariance dependence.

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AuthorJianqing Fan, Tracy Ke, Sydney Li and Lucy Xia
Date of publication2016-07-04 09:16:46
MaintainerTracy Ke <zke@galton.uchicago.edu>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("pfa")

Man pages

CEU: CCT8 genome-wise association data on CEU population
pfa: Estimates False Discovery Proportion Under Arbitrary...

Functions

CEU Man page
pfa Source code
pfa.gwas Man page Source code
pfa.test Man page Source code
print.FDPresults Source code
rcv Source code
summary.FDPresults Source code

Files

NAMESPACE
data
data/CEU.RData
R
R/core.R
R/use.R
MD5
DESCRIPTION
man
man/pfa.Rd
man/CEU.Rd
pfa documentation built on May 19, 2017, 12:55 p.m.