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mrbsizeR  

Scale Space Multiresolution Analysis of Random Signals
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mrbsizeR", "1.3")



Attach the package and use:
library("mrbsizeR")
Maintained by
Roman Flury
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-03
Latest Update: 2024-02-14
Description:
A method for the multiresolution analysis of spatial fields and images to capture scale-dependent features. mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales. To infer which of the captured features are credible, Bayesian analysis is used. The scale space multiresolution analysis has three steps: (1) Bayesian signal reconstruction. (2) Using differences of smooths, scale-dependent features of the reconstructed signal can be found. (3) Posterior credibility analysis of the differences of smooths created. The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) and extended in Flury, Gerber, Schmid and Furrer (2021) .
How to cite:
Roman Flury (2017). mrbsizeR: Scale Space Multiresolution Analysis of Random Signals. R package version 1.3, https://cran.r-project.org/web/packages/mrbsizeR. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.1 (2017-04-03 08:17), 1.1.0 (2018-04-30 16:50), 1.1.1 (2018-05-02 19:42), 1.2.1.1 (2020-04-01 13:25), 1.2.1 (2019-12-13 12:00), 1.2 (2019-12-06 14:00)
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Complete documentation for mrbsizeR
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