README.md

In stephenslab/EbayesThresh: Empirical Bayes Thresholding and Related Methods

EbayesThresh: Empirical Bayes thresholding in R

The EbayesThresh package provides a simple interface for Empirical Bayes thresholding using the methods developed by I. M. Johnstone and B. W. Silverman.

License

The EbayesThresh source code repository is free software: you can redistribute it under the terms of the GNU General Public License. All the files in this project are part of EbayesThresh. This project is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See file LICENSE for the full text of the license.

Quick Start

Install the latest release of the EbayesThresh package using devtools:

library(devtools)
install_github("stephenslab/EbayesThresh@v1.4-12")

Load EbayesThresh into your R environment, and get an overview of the package:

library(EbayesThresh)
help(package = EbayesThresh)

Explore the EbayesThresh vignette, either on the Web, or in R:

vignette("ebayesthresh")

What's included

This is the current structure of the R package:

├── DESCRIPTION
├── LICENSE
├── NAMESPACE
├── R
├── README.md
├── inst
│   └── kan-xu-thesis.pdf
├── man
├── tests
│   ├── testthat
│   └── testthat.R
└── vignettes
    └── ebayesthresh.Rmd

Credits

The EbayesThresh software package was originally developed by Bernard W. Silverman and Ludger Evers, with extensions introduced by Kan Xu, Peter Carbonetto and Matthew Stephens in the Department of Statistics at the University of Chicago.

stephenslab/EbayesThresh documentation built on May 15, 2019, 4:28 p.m.