dks: The double Kolmogorov-Smirnov package for evaluating multiple testing procedures.
Version 1.22.0

The dks package consists of a set of diagnostic functions for multiple testing methods. The functions can be used to determine if the p-values produced by a multiple testing procedure are correct. These functions are designed to be applied to simulated data. The functions require the entire set of p-values from multiple simulated studies, so that the joint distribution can be evaluated.

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AuthorJeffrey T. Leek <jleek@jhsph.edu>
Bioconductor views MultipleComparison QualityControl
Date of publicationNone
MaintainerJeffrey T. Leek <jleek@jhsph.edu>
LicenseGPL
Version1.22.0
Package repositoryView on Bioconductor
InstallationInstall the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("dks")

Man pages

cred.set: Calculate a credible set for the posterior distribution on...
dks: Frequentist and Bayesian diagnostic tests for multiple...
dksdata: Simulated null p-values from the uniform distribution.
dks.pvalue: Frequentist diagnostic test for multiple testing p-values.
P: Simulated null p-values from the uniform distribution.
pprob.dist: The posterior distribution for the hyper-parameters of the...
pprob.uniform: Bayesian diagnostic test for multiple testing p-values.

Functions

P Man page
beta.mom Source code
cdfplot Source code
cred.set Man page Source code
dks Man page Source code
dks.pvalue Man page Source code
dksdata} \title{Simulated null p-values from the uniform distri Man page
pksone Source code
pprob.dist Man page Source code
pprob.uniform Man page Source code
qksone Source code

Files

DESCRIPTION
NAMESPACE
R
R/dks.R
build
build/vignette.rds
data
data/dksdata.rda
inst
inst/NEWS
inst/doc
inst/doc/dks.R
inst/doc/dks.Rnw
inst/doc/dks.pdf
man
man/P.Rd
man/cred.set.Rd
man/dks.Rd
man/dks.pvalue.Rd
man/dksdata.Rd
man/pprob.dist.Rd
man/pprob.uniform.Rd
vignettes
vignettes/betas2.pdf
vignettes/dks.Rnw
dks documentation built on May 20, 2017, 11:02 p.m.