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A Haar-Fisz algorithm for Poisson intensity estimation. Will denoise Poisson distributed sequences where underlying intensity is not constant. Uses the multiscale variance-stabilization method called the Haar-Fisz transform. Contains functions to carry out the forward and inverse Haar-Fisz transform and denoising on near-Gaussian sequences. Can also carry out cycle-spinning. Main reference: Fryzlewicz, P. and Nason, G.P. (2004) "A Haar-Fisz algorithm for Poisson intensity estimation." Journal of Computational and Graphical Statistics, 13, 621-638. <doi:10.1198/106186004X2697>.
Version: | 4.5.4 |
Depends: | R (≥ 3.5.0), wavethresh |
Published: | 2023-09-01 |
DOI: | 10.32614/CRAN.package.haarfisz |
Author: | Piotr Fryzlewicz [aut], Guy Nason [cre] |
Maintainer: | Guy Nason <g.nason at imperial.ac.uk> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | haarfisz results |
Reference manual: | haarfisz.pdf |
Package source: | haarfisz_4.5.4.tar.gz |
Windows binaries: | r-devel: haarfisz_4.5.4.zip, r-release: haarfisz_4.5.4.zip, r-oldrel: haarfisz_4.5.4.zip |
macOS binaries: | r-release (arm64): haarfisz_4.5.4.tgz, r-oldrel (arm64): haarfisz_4.5.4.tgz, r-release (x86_64): haarfisz_4.5.4.tgz, r-oldrel (x86_64): haarfisz_4.5.4.tgz |
Old sources: | haarfisz archive |
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These binaries (installable software) and packages are in development.
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