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,
|Maintainer||Peter Carbonetto <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on GitHub|
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