README.md
In mastropi/bwt:
bwt
Package for Bayesian Wavelet Thresholding
This package is being developed to implement the estimation of a signal and its confidence interval using a Bayesian approach
and wavelet thresholding to reduce the effect of noise.
The method is described in the following paper:
https://academic.oup.com/biomet/article-abstract/96/2/479/249903
mastropi/bwt documentation built on May 21, 2019, 12:44 p.m.
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bwt
Package for Bayesian Wavelet Thresholding
This package is being developed to implement the estimation of a signal and its confidence interval using a Bayesian approach and wavelet thresholding to reduce the effect of noise.
The method is described in the following paper: https://academic.oup.com/biomet/article-abstract/96/2/479/249903
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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