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smashr  

Smoothing by Adaptive Shrinkage
View on CRAN: Click here


Download and install smashr package within the R console
Install from CRAN:
install.packages("smashr")

Install from Github:
library("remotes")
install_github("cran/smashr")

Install by package version:
library("remotes")
install_version("smashr", "1.3-12")



Attach the package and use:
library("smashr")
Maintained by
Peter Carbonetto
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-15
Latest Update: 2025-12-15
Description:
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, P. Carbonetto & M. Stephens (2021) <https://jmlr.org/papers/v22/19-042.html>.
How to cite:
Peter Carbonetto (2025). smashr: Smoothing by Adaptive Shrinkage. R package version 1.3-12, https://cran.r-project.org/web/packages/smashr. Accessed 07 Jun. 2026.
Previous versions and publish date:
No previous versions
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View smashr citation profile
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Complete documentation for smashr
Functions, R codes and Examples using the smashr R package
Full smashr package functions and examples
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