A method for the multiresolution analysis of spatial fields and images to capture scaledependent 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, scaledependent 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)
Package details 


Author  Thimo Schuster [aut], Roman Flury [cre, ctb], Leena Pasanen [ctb], Reinhard Furrer [ctb] 
Date of publication  20180502 17:42:10 UTC 
Maintainer  Roman Flury <[email protected]> 
License  GPL2 
Version  1.1.1 
URL  http://cc.oulu.fi/~lpasanen/MRBSiZer/ 
Package repository  View on CRAN 
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