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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite the smashr package, please use:
Xing Z, Carbonetto P, Stephens M (2021). “Flexible signal denoising via flexible empirical Bayes shrinkage.” Journal of Machine Learning Research, 22(93), 1–28. https://jmlr.org/papers/v22/19-042.html.
Corresponding BibTeX entry:
@Article{xing_etall:2021,
title = {Flexible signal denoising via flexible empirical Bayes
shrinkage},
author = {Zhengrong Xing and Peter Carbonetto and Matthew
Stephens},
journal = {Journal of Machine Learning Research},
volume = {22},
number = {93},
pages = {1--28},
year = {2021},
url = {https://jmlr.org/papers/v22/19-042.html},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.