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We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing as described in "J. Polzehl and V. Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1>", "J. Polzehl and V. Spokoiny (2004) <DOI:10.20347/WIAS.PREPRINT.998>" and "J. Polzehl, K. Papafitsoros, K. Tabelow (2018) <DOI:10.20347/WIAS.PREPRINT.2520>", the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter.

copied from cf-post-staging / r-aws
Type Size Name Uploaded Downloads Labels
conda 622.2 kB | win-64/r-aws-2.3_0-r35he60dc00_0.tar.bz2  5 years and 9 months ago 1125 main cf202003
conda 625.6 kB | win-64/r-aws-2.3_0-r36he60dc00_0.tar.bz2  5 years and 9 months ago 1147 main cf202003
conda 602.6 kB | osx-64/r-aws-2.3_0-r35h384270c_0.tar.bz2  5 years and 9 months ago 336 main cf202003
conda 610.6 kB | linux-64/r-aws-2.3_0-r36h9bbef5b_0.tar.bz2  5 years and 9 months ago 3889 main cf202003
conda 604.1 kB | osx-64/r-aws-2.3_0-r36h384270c_0.tar.bz2  5 years and 9 months ago 341 main cf202003
conda 608.1 kB | linux-64/r-aws-2.3_0-r35h9bbef5b_0.tar.bz2  5 years and 9 months ago 3892 main cf202003

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