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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.

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Type Size Name Uploaded Downloads Labels
conda 1.2 MB | win-64/r-aws-2.4_3-r36hf582b4e_0.tar.bz2  5 years and 8 months ago 1060 main
conda 1.3 MB | win-64/r-aws-2.4_3-r40hf582b4e_0.tar.bz2  5 years and 8 months ago 1075 main
conda 1.3 MB | osx-64/r-aws-2.4_3-r40hbce4cb8_0.tar.bz2  5 years and 8 months ago 351 main
conda 1.2 MB | osx-64/r-aws-2.4_3-r36hbce4cb8_0.tar.bz2  5 years and 8 months ago 345 main
conda 1.3 MB | linux-64/r-aws-2.4_3-r40h9bbef5b_0.tar.bz2  5 years and 8 months ago 3833 main
conda 1.2 MB | linux-64/r-aws-2.4_3-r36h9bbef5b_0.tar.bz2  5 years and 8 months ago 3824 main

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