zrxing/smash: Smoothing using Adaptive Shrinkage in R
Version 1.2-0

Fast, wavelet-based Empirical Bayes shrinkage methods for signal denoising, including smoothing Poisson-distributed data and Gaussian-distributed data with possibly heteroskedastic error. The algorithms implement the methods described in "Smoothing via adaptive shrinkage (smash): denoising Poisson and heteroskedastic Gaussian signals" (Z. Xing & M. Stephens, 2016, ).

Getting started

Package details

MaintainerPeter Carbonetto <[email protected]>
LicenseGPL (>= 3)
URL http://github.com/stephenslab/smashr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
zrxing/smash documentation built on May 27, 2018, 4:39 a.m.