fuzzyFDR: Exact calculation of fuzzy decision rules for multiple testing
Version 1.0

Exact calculation of fuzzy decision rules for multiple testing. Choose to control FDR (false discovery rate) using the Benjamini and Hochberg method, or FWER (family wise error rate) using the Bonferroni method. Kulinsakaya and Lewin (2007).

AuthorAlex Lewin
Date of publicationNone
MaintainerAlex Lewin <a.m.lewin@imperial.ac.uk>
LicenseGPL
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("fuzzyFDR")

Getting started

Package overview

Popular man pages

example1: Examples 1 and 3 of Kulinskaya and Lewin
example2: Example 2 of Kulinskaya and Lewin
fuzzyBHexact: Exact calculation of fuzzy decision rules (Benjamini and...
fuzzyFDR-package: Exact calculation of fuzzy decision rules for multiple...
See all...

All man pages Function index File listing

Man pages

example1: Examples 1 and 3 of Kulinskaya and Lewin
example2: Example 2 of Kulinskaya and Lewin
fuzzyBHexact: Exact calculation of fuzzy decision rules (Benjamini and...
fuzzyFDR-package: Exact calculation of fuzzy decision rules for multiple...

Functions

example1 Man page
example2 Man page
fuzzyBHexact Man page
fuzzyFDR Man page
fuzzyFDR-package Man page
myMatch Source code
myUnique Source code

Files

data
data/example1.rda
data/example2.rda
DESCRIPTION
man
man/fuzzyFDR-package.Rd
man/example1.Rd
man/fuzzyBHexact.Rd
man/example2.Rd
NAMESPACE
R
R/probRejTies.R
R/myUnique.R
R/getAlloc.R
R/fuzzyBHexact.R
R/myMatch.R
fuzzyFDR documentation built on May 19, 2017, 4:11 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.