README.md

In stephenslab/mvebnm: Ultimate Deconvolution for Multivariate Normal Means

udr: Ultimate Deconvolution in R

R package implementing fast statistical algorithms for solving the multivariate normal means problem via empirical Bayes, building on the Extreme Deconvolution method.

Quick Start

Install the package and build the vignette:

remotes::install_github("stephenslab/udr")

Note that installing the package will require a C++ compiler setup that is appropriate for the version of R installed on your computer. For details, refer to the CRAN documentation.

Once you have installed the package, load it into your environment:

library(udr)

Work through the introductory vignette illustrating the methods on a small simulated data set:

vignette("udr_intro")

Credits

The udr R package was developed by Yunqi Yang and Peter Carbonetto at the University of Chicago, with contributions from Matthew Stephens.

stephenslab/mvebnm documentation built on June 4, 2024, 6:37 a.m.