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mrbsizeR

Scale Space Multiresolution Analysis of Random Signals

v1.3 · Feb 13, 2024 · GPL-2

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) <DOI:10.1016/j.csda.2011.04.011> and extended in Flury, Gerber, Schmid and Furrer (2021) <DOI:10.1016/j.spasta.2020.100483>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

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See 'd:/Rcompile/CRANpkg/local/4.6/mrbsizeR.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies maps fields Rcpp mrbsizeR

Version History

8 tracked
new 1.3 Mar 10, 2026
updated 1.3 ← 1.2.1.1 diff Feb 13, 2024
updated 1.2.1.1 ← 1.2.1 diff Mar 31, 2020
updated 1.2.1 ← 1.2 diff Dec 12, 2019
updated 1.2 ← 1.1.1 diff Dec 5, 2019
updated 1.1.1 ← 1.1.0 diff May 1, 2018
updated 1.1.0 ← 1.0.1 diff Apr 29, 2018
new 1.0.1 Apr 2, 2017