stephenslab/smashr: 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
Browse package contents
Package details |
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| Maintainer | Peter Carbonetto <pcarbo@uchicago.edu> |
| License | GPL (>= 3) |
| Version | 1.2-9 |
| URL | http://github.com/stephenslab/smashr |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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