zrxing/smash: Smoothing by Adaptive Shrinkage in R

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 Z. Xing & M. Stephens, 2016 <arXiv:1605.07787>.

Getting started

Package details

MaintainerPeter Carbonetto <[email protected]>
LicenseGPL (>= 3)
Version1.2-0
URL http://github.com/stephenslab/smashr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("zrxing/smash")
zrxing/smash documentation built on Sept. 27, 2018, 9:11 a.m.