{ "_id": "6a1beaf91d7bb097a0a1efba", "Package": "aws", "Version": "2.5-6", "Date": "2024-09-29", "Title": "Adaptive Weights Smoothing", "Authors@R": "c(person(\"Joerg\",\"Polzehl\",role=c(\"aut\",\"cre\"),email=\"joerg.polzehl@wias-berlin.de\"),person(\"Felix\",\"Anker\",role=c(\"ctb\")))", "Author": "Joerg Polzehl [aut, cre], Felix Anker [ctb]", "Maintainer": "Joerg Polzehl ", "Description": "We provide a collection of R-functions implementing\nadaptive smoothing procedures in 1D, 2D and 3D. This includes\nthe Propagation-Separation Approach to adaptive smoothing, the\nIntersecting Confidence Intervals (ICI), variational approaches\nand a non-local means filter. The package is described in\ndetail in Polzehl J, Papafitsoros K, Tabelow K (2020).\nPatch-Wise Adaptive Weights Smoothing in R. Journal of\nStatistical Software, 95(6), 1-27. ,\nUsage of the package in MR imaging is illustrated in Polzehl\nand Tabelow (2023), Magnetic Resonance Brain Imaging, 2nd Ed.\nAppendix A, Springer, Use R! Series.\n.", "License": "GPL (>= 2)", "Copyright": "This package is Copyright (C) 2005-2024 Weierstrass\nInstitute for Applied Analysis and Stochastics.", "URL": "https://www.wias-berlin.de/people/polzehl/", "RoxygenNote": "5.0.1", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-31 07:27:31 UTC", "User": "root" }, "Config/pak/sysreqs": "libgsl0-dev", "Repository": "https://jpolzehl.r-universe.dev", "Date/Publication": "2024-10-01 03:08:22 UTC", "RemoteUrl": "https://github.com/cran/aws", "RemoteRef": "HEAD", "RemoteSha": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "MD5sum": "33347dc4f8391f237ee4f9650b23609e", "_user": "jpolzehl", "_type": "src", "_file": "aws_2.5-6.tar.gz", "_fileid": "117fea36f28508273570cae7b332e00d9a60013267fbd226e42bc63d1d1cc8a8", "_filesize": 907361, "_sha256": "117fea36f28508273570cae7b332e00d9a60013267fbd226e42bc63d1d1cc8a8", "_created": "2026-05-31T07:27:31.000Z", "_published": "2026-05-31T08:02:01.917Z", "_distro": "noble", "_jobs": [ { "job": 78708698484, "time": 144, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7314826004" }, { "job": 78708698498, "time": 125, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7314823536" }, { "job": 78708698492, "time": 115, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7314822233" }, { "job": 78708698496, "time": 123, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7314823366" }, { "job": 78708698485, "time": 131, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7315041435" }, { "job": 78708698486, "time": 350, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "7314852010" }, { "job": 78708698488, "time": 119, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7315019384" }, { "job": 78708698483, "time": 401, "config": "macos-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7314854930" }, { "job": 78708402722, "time": 321, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7314807581" }, { "job": 78708698453, "time": 108, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7314821433" }, { "job": 78708698474, "time": 103, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7314820804" }, { "job": 78708698471, "time": 86, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7314818632" }, { "job": 78708698476, "time": 112, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7314821983" } ], "_buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/aws", "_commit": { "id": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "author": "Joerg Polzehl ", "committer": "cran-robot ", "message": "version 2.5-6\n", "time": 1727752102 }, "_maintainer": { "name": "Joerg Polzehl", "email": "joerg.polzehl@wias-berlin.de", "login": "jpolzehl", "description": "", "uuid": 32621343 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.4.0", "role": "Depends" }, { "package": "awsMethods", "version": ">= 1.1-1", "role": "Depends" }, { "package": "methods", "role": "Imports" }, { "package": "gsl", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 8, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "jpolzehl", "count": 17, "uuid": 32621343 } ], "_userbio": { "uuid": 32621343, "type": "user", "name": "Joerg Polzehl" }, "_downloads": { "count": 827, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/aws" }, "_mentions": 3, "_searchresults": 37, "_topics": [ "openblas", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/aws.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_realowner": "jpolzehl", "_cranurl": false, "_releases": [ { "version": "1.0-1", "date": "2002-02-15" }, { "version": "1.0-4", "date": "2002-04-26" }, { "version": "1.2-0", "date": "2002-11-27" }, { "version": "1.3-0", "date": "2004-12-27" }, { "version": "1.3-2", "date": "2006-01-07" }, { "version": "1.3-3.1", "date": "2007-07-07" }, { "version": "1.6", "date": "2009-04-15" }, { "version": "1.6-1", "date": "2009-10-12" }, { "version": "1.6-2", "date": "2010-04-07" }, { "version": "1.7-1", "date": "2011-12-11" }, { "version": "1.8-0", "date": "2012-05-24" }, { "version": "1.9-3", "date": "2013-03-18" }, { "version": "1.9-4", "date": "2014-03-05" }, { "version": "1.9-6", "date": "2016-09-15" }, { "version": "2.2-0", "date": "2018-07-30" }, { "version": "2.2-1", "date": "2019-05-08" }, { "version": "2.3-0", "date": "2019-11-16" }, { "version": "2.4-0", "date": "2020-01-21" }, { "version": "2.4-1", "date": "2020-02-19" }, { "version": "2.4-2", "date": "2020-04-17" }, { "version": "2.4-3", "date": "2020-07-21" }, { "version": "2.5", "date": "2020-10-02" }, { "version": "2.5-1", "date": "2021-01-11" }, { "version": "2.5-3", "date": "2023-06-22" }, { "version": "2.5-4", "date": "2024-02-02" }, { "version": "2.5-5", "date": "2024-02-07" }, { "version": "2.2-1.1", "date": "2024-09-30" }, { "version": "2.5-6", "date": "2024-09-30" } ], "_exports": [ "AFLocalSigma", "aws", "aws.gaussian", "aws.irreg", "aws.segment", "aws3Dmask", "aws3Dmaskfull", "awsdata", "awslinsd", "awsLocalSigma", "awstestprop", "awsweights", "binning", "estGlobalSigma", "estimateSigmaCompl", "extract", "gethani", "getvofh", "ICIcombined", "ICIsmooth", "kernsm", "lpaws", "medianFilter3D", "nlmeans", "paws", "pawstestprop", "plot", "print", "qmeasures", "residualSpatialCorr", "residualVariance", "risk", "show", "smooth3D", "smse3", "smse3ms", "sofmchi", "summary", "TGV_denoising", "TGV_denoising_colour", "TV_denoising", "TV_denoising_colour", "vaws", "vawscov", "vpaws", "vpawscov", "vpawscov2" ], "_help": [ { "page": "aws-package", "title": "Adaptive Weights Smoothing", "topics": [ "aws-package" ] }, { "page": "gethani", "title": "Auxiliary functions (for internal use)", "topics": [ "gethani", "getvofh", "residualSpatialCorr", "residualVariance", "sofmchi" ] }, { "page": "aws", "title": "AWS for local constant models on a grid", "topics": [ "aws" ] }, { "page": "aws-class", "title": "Class '\"aws\"'", "topics": [ "aws-class" ] }, { "page": "aws.gaussian", "title": "Adaptive weights smoothing for Gaussian data with variance depending on the mean.", "topics": [ "aws.gaussian" ] }, { "page": "aws.irreg", "title": "local constant AWS for irregular (1D/2D) design", "topics": [ "aws.irreg" ] }, { "page": "aws.segment", "title": "Segmentation by adaptive weights for Gaussian models.", "topics": [ "aws.segment" ] }, { "page": "awsdata", "title": "Extract information from an object of class aws", "topics": [ "awsdata" ] }, { "page": "awsLocalSigma", "title": "3D variance estimation", "topics": [ "AFLocalSigma", "awslinsd", "awsLocalSigma", "estGlobalSigma", "estimateSigmaCompl" ] }, { "page": "awssegment-class", "title": "Class '\"awssegment\"'", "topics": [ "awssegment-class" ] }, { "page": "awstestprop", "title": "Propagation condition for adaptive weights smoothing", "topics": [ "awstestprop", "pawstestprop" ] }, { "page": "awsweights", "title": "Generate weight scheme that would be used in an additional aws step", "topics": [ "awsweights" ] }, { "page": "binning", "title": "Binning in 1D, 2D or 3D", "topics": [ "binning" ] }, { "page": "extract-methods", "title": "Methods for Function 'extract' in Package 'aws'", "topics": [ "extract,ANY-method", "extract,aws-method", "extract,awssegment-method", "extract,ICIsmooth-method", "extract,kernsm-method", "extract-methods" ] }, { "page": "ICIcombined", "title": "Adaptive smoothing by Intersection of Confidence Intervals (ICI) using multiple windows", "topics": [ "ICIcombined" ] }, { "page": "ICIsmooth", "title": "Adaptive smoothing by Intersection of Confidence Intervals (ICI)", "topics": [ "ICIsmooth" ] }, { "page": "ICIsmooth-class", "title": "Class '\"ICIsmooth\"'", "topics": [ "ICIsmooth-class" ] }, { "page": "kernsm", "title": "Kernel smoothing on a 1D, 2D or 3D grid", "topics": [ "kernsm" ] }, { "page": "kernsm-class", "title": "Class '\"kernsm\"'", "topics": [ "kernsm-class" ] }, { "page": "lpaws", "title": "Local polynomial smoothing by AWS", "topics": [ "lpaws" ] }, { "page": "nlmeans", "title": "NLMeans filter in 1D/2D/3D", "topics": [ "nlmeans" ] }, { "page": "paws", "title": "Adaptive weigths smoothing using patches", "topics": [ "paws", "pawsm" ] }, { "page": "plot-methods", "title": "Methods for Function `plot' from package 'graphics' in Package `aws'", "topics": [ "plot,ANY-method", "plot,aws-method", "plot,awssegment-method", "plot,ICIsmooth-method", "plot,kernsm-method", "plot-methods" ] }, { "page": "print-methods", "title": "Methods for Function `print' from package 'base' in Package `aws'", "topics": [ "print,ANY-method", "print,aws-method", "print,awssegment-method", "print,ICIsmooth-method", "print,kernsm-method", "print-methods" ] }, { "page": "qmeasures", "title": "Quality assessment for image reconstructions.", "topics": [ "qmeasures" ] }, { "page": "risk-methods", "title": "Compute risks characterizing the quality of smoothing results", "topics": [ "risk,ANY-method", "risk,array-method", "risk,aws-method", "risk,awssegment-method", "risk,ICIsmooth-method", "risk,kernsm-method", "risk,numeric-method", "risk-methods" ] }, { "page": "show-methods", "title": "Methods for Function `show' in Package `aws'", "topics": [ "show,ANY-method", "show,aws-method", "show,awssegment-method", "show,ICIsmooth-method", "show,kernsm-method", "show-methods" ] }, { "page": "smooth3D", "title": "Auxiliary 3D smoothing routines", "topics": [ "aws3Dmask", "aws3Dmaskfull", "medianFilter3D", "smooth3D" ] }, { "page": "smse3ms", "title": "Adaptive smoothing in orientation space SE(3)", "topics": [ "smse3", "smse3ms" ] }, { "page": "summary-methods", "title": "Methods for Function `summary' from package 'base' in Package `aws'", "topics": [ "summary,ANY-method", "summary,aws-method", "summary,awssegment-method", "summary,ICIsmooth-method", "summary,kernsm-method", "summary-methods" ] }, { "page": "TV_denoising", "title": "TV/TGV denoising of image data", "topics": [ "TGV_denoising", "TGV_denoising_colour", "TV_denoising", "TV_denoising_colour" ] }, { "page": "vaws", "title": "vector valued version of function 'aws' The function implements the propagation separation approach to nonparametric smoothing (formerly introduced as Adaptive weights smoothing) for varying coefficient likelihood models with vector valued response on a 1D, 2D or 3D grid.", "topics": [ "vaws", "vawscov" ] }, { "page": "vpaws", "title": "vector valued version of function 'paws' with homogeneous covariance structure", "topics": [ "vpaws", "vpawscov", "vpawscov2" ] } ], "_rundeps": [ "awsMethods", "gsl" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "aws-Example.Rnw", "filename": "aws-Example.pdf", "title": "A very short inroduction into the aws package", "engine": "utils::Sweave", "headings": [], "created": "2020-02-19 14:40:02", "modified": "2024-10-01 03:08:22", "commits": 5 } ], "_score": 4.425534220498263, "_indexed": true, "_nocasepkg": "aws", "_universes": [ "jpolzehl" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.5-6", "date": "2026-05-31T07:30:03.000Z", "distro": "noble", "arch": "aarch64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "688f03d6d54f73648aa6c4c3a8047c483996ff40b8ec63d64c90b7bc8a28771a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.7.0", "os": "linux", "version": "2.5-6", "date": "2026-05-31T07:29:38.000Z", "distro": "noble", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "3467a39a164e7810aa74757cf18897f04dfeda13729d0c05e7134346946bca7e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.6.0", "os": "linux", "version": "2.5-6", "date": "2026-05-31T07:29:36.000Z", "distro": "noble", "arch": "aarch64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "ed3a502f9c3f1d9c1e19a8009946f38fe65df66d39ff06efabf9d5e64d82f5ee", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.6.0", "os": "linux", "version": "2.5-6", "date": "2026-05-31T07:29:38.000Z", "distro": "noble", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "db6887713722aebc86313795da7440325520f2633572e28487de85334b9c8b26", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.5.3", "os": "mac", "version": "2.5-6", "date": "2026-05-31T08:01:09.000Z", "arch": "aarch64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "f1b8e439e05f5978b1b7977ca816faf9393fff1da87aa43c8ff7d533a8018a3f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.5.3", "os": "mac", "version": "2.5-6", "date": "2026-05-31T07:32:53.000Z", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "fa29c7ed9f17c9be9784e4927c104689ee15b5ba3739628aba91b915eb7fb102", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.6.0", "os": "mac", "version": "2.5-6", "date": "2026-05-31T07:57:50.000Z", "arch": "aarch64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "c6b39bd3d610f35c467b85e869c19517447e5dd4fa9c803b9d9313940a1f5e37", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.6.0", "os": "mac", "version": "2.5-6", "date": "2026-05-31T07:32:45.000Z", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "4b02a0b2171a2d25d9a119dd76a39c2d8c45881f4742737987d5927ed0aa48c6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.6.0", "os": "wasm", "version": "2.5-6", "date": "2026-05-31T07:29:47.000Z", "arch": "emscripten", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "ef5402350911e269aab64100cd5280560e0580d01e45f10dbef250b6759b51a8", "status": "success", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.7.0", "os": "win", "version": "2.5-6", "date": "2026-05-31T07:28:55.000Z", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "07b7ec466a9f2f5ccaadf6fd8266ef5a97ae4d0610092b7f41cdd12e44d370e3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.5.3", "os": "win", "version": "2.5-6", "date": "2026-05-31T07:28:47.000Z", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "d15f770c46ba1904335f53bc8e6b14c6a1e5ec3f155f0f56f195513460ea35e4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" }, { "r": "4.6.0", "os": "win", "version": "2.5-6", "date": "2026-05-31T07:29:09.000Z", "arch": "x86_64", "commit": "12f22ac737e4e1a3d147bbd5953e9b59d5111fc1", "fileid": "3073d67a849583f540bb7435d4b2afc2591a1cafa6a8dbe83bb2ce9ba5a5a132", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jpolzehl/actions/runs/26706398020" } ] }