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) <DOI:10.1016/j.csda.2011.04.011>. Matlab code is available under <http://cc.oulu.fi/~lpasanen/MRBSiZer/>.
Package details 


Author  Thimo Schuster [aut], Roman Flury [cre, aut], Leena Pasanen [ctb], Reinhard Furrer [ctb] 
Maintainer  Roman Flury <roman.flury@math.uzh.ch> 
License  GPL2 
Version  1.2.1.1 
URL  https://github.com/romanflury/mrbsizeR https://romanflury.github.io/mrbsizeR/ 
Package repository  View on CRAN 
Installation 
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