{ "_id": "6a1d4b8a1d7bb097a0a43918", "Package": "nsp", "Title": "Inference for Multiple Change-Points in Linear Models", "Version": "1.0.0", "Authors@R": "person(given = \"Piotr\",\nfamily = \"Fryzlewicz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"p.fryzlewicz@lse.ac.uk\",\ncomment = c(ORCID = \"0000-0002-9676-902X\"))", "Description": "Implementation of Narrowest Significance Pursuit, a\ngeneral and flexible methodology for automatically detecting\nlocalised regions in data sequences which each must contain a\nchange-point (understood as an abrupt change in the parameters\nof an underlying linear model), at a prescribed global\nsignificance level. Narrowest Significance Pursuit works with a\nwide range of distributional assumptions on the errors, and\nyields exact desired finite-sample coverage probabilities,\nregardless of the form or number of the covariates. For\ndetails, see P. Fryzlewicz (2021)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 09:03:38 UTC", "User": "root" }, "Author": "Piotr Fryzlewicz [aut, cre]\n()", "Maintainer": "Piotr Fryzlewicz ", "Repository": "https://pfryz.r-universe.dev", "Date/Publication": "2021-12-21 06:10:06 UTC", "RemoteUrl": "https://github.com/cran/nsp", "RemoteRef": "HEAD", "RemoteSha": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "MD5sum": "4943891356a633bab5fb94ab9e766595", "_user": "pfryz", "_type": "src", "_file": "nsp_1.0.0.tar.gz", "_fileid": "e2810383da621736b578343d6cb4d6eab506e08ddb621d4624261c156634d1bf", "_filesize": 3192232, "_sha256": "e2810383da621736b578343d6cb4d6eab506e08ddb621d4624261c156634d1bf", "_created": "2026-06-01T09:03:38.000Z", "_published": "2026-06-01T09:06:18.330Z", "_distro": "noble", "_jobs": [ { "job": 78819807315, "time": 119, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7327492628" }, { "job": 78819807282, "time": 117, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7327491756" }, { "job": 78819807344, "time": 101, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7327486644" }, { "job": 78819807431, "time": 85, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7327481045" }, { "job": 78819362774, "time": 166, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7327452019" }, { "job": 78819807390, "time": 93, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7327483787" }, { "job": 78819807381, "time": 122, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7327493224" }, { "job": 78819807404, "time": 104, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7327487353" }, { "job": 78819807339, "time": 115, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7327491498" } ], "_buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/nsp", "_commit": { "id": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "author": "Piotr Fryzlewicz ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1640067006 }, "_maintainer": { "name": "Piotr Fryzlewicz", "email": "p.fryzlewicz@lse.ac.uk", "login": "pfryz", "description": "", "uuid": 43373329, "orcid": "0000-0002-9676-902X" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.0.0", "role": "Depends" }, { "package": "lpSolve", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "pfryz", "count": 1, "uuid": 43373329 } ], "_userbio": { "uuid": 43373329, "type": "user", "name": "Piotr Fryzlewicz" }, "_downloads": { "count": 153, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/nsp" }, "_mentions": 1, "_searchresults": 2, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/nsp.html", "manual.pdf" ], "_realowner": "pfryz", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2021-12-21" } ], "_exports": [ "cov_dep_multi_norm", "cov_dep_multi_norm_poly", "cpt_importance", "draw_rects", "draw_rects_advanced", "nsp", "nsp_poly", "nsp_poly_ar", "nsp_poly_selfnorm", "nsp_selfnorm", "nsp_tvreg", "sim_max_holder", "thresh_kab" ], "_help": [ { "page": "cov_dep_multi_norm", "title": "Simulate covariate-dependent multiscale sup-norm for use in NSP", "topics": [ "cov_dep_multi_norm" ] }, { "page": "cov_dep_multi_norm_poly", "title": "Simulate covariate-dependent multiscale sup-norm for use in NSP, for piecewise-polynomial models", "topics": [ "cov_dep_multi_norm_poly" ] }, { "page": "cpt_importance", "title": "Change-point importance (prominence) plot", "topics": [ "cpt_importance" ] }, { "page": "draw_rects", "title": "Draw NSP intervals of significance as shaded rectangular areas on the current plot", "topics": [ "draw_rects" ] }, { "page": "draw_rects_advanced", "title": "Plot NSP intervals of significance at appropriate places along the graph of data", "topics": [ "draw_rects_advanced" ] }, { "page": "nsp", "title": "Narrowest Significance Pursuit algorithm with general covariates and user-specified threshold", "topics": [ "nsp" ] }, { "page": "nsp_poly", "title": "Narrowest Significance Pursuit algorithm for piecewise-polynomial signals", "topics": [ "nsp_poly" ] }, { "page": "nsp_poly_ar", "title": "Narrowest Significance Pursuit algorithm for piecewise-polynomial signals with autoregression", "topics": [ "nsp_poly_ar" ] }, { "page": "nsp_poly_selfnorm", "title": "Self-normalised Narrowest Significance Pursuit algorithm for piecewise-polynomial signals", "topics": [ "nsp_poly_selfnorm" ] }, { "page": "nsp_selfnorm", "title": "Self-normalised Narrowest Significance Pursuit algorithm with general covariates and user-specified threshold", "topics": [ "nsp_selfnorm" ] }, { "page": "nsp_tvreg", "title": "Narrowest Significance Pursuit algorithm with general covariates", "topics": [ "nsp_tvreg" ] }, { "page": "sim_max_holder", "title": "Simulate Holder-like norm of the Wiener process for use in self-normalised NSP", "topics": [ "sim_max_holder" ] }, { "page": "thresh_kab", "title": "Compute the theoretical threshold for the multiscale sup-norm if the underlying distribution is standard normal", "topics": [ "thresh_kab" ] } ], "_rundeps": [ "lpSolve" ], "_score": 1, "_indexed": true, "_nocasepkg": "nsp", "_universes": [ "pfryz" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0", "date": "2026-06-01T09:05:25.000Z", "distro": "noble", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "af3e1862c80be9dc046b358a99a9fb494bca00d0b91ca58f70d92d24fe4744a2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.6.0", "os": "linux", "version": "1.0.0", "date": "2026-06-01T09:05:25.000Z", "distro": "noble", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "cd4e2e592de7c2a701b8502b50a33170d13ff1cbdb901bc4823389e18f1f92c9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.5.3", "os": "mac", "version": "1.0.0", "date": "2026-06-01T09:05:15.000Z", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "de2739a89f6128584fa4be70dec39215b500d794767d319d252c8341f14a0619", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.6.0", "os": "mac", "version": "1.0.0", "date": "2026-06-01T09:05:02.000Z", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "cd5c4d95bbe4a387062096a4cd2b8a89a16241b1f330860990bc336d1e53b530", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0", "date": "2026-06-01T09:05:26.000Z", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "f0651234203635794c3ae6f7a2504045f04c46825a074720ae5924e30139e221", "status": "success", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.7.0", "os": "win", "version": "1.0.0", "date": "2026-06-01T09:04:47.000Z", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "f785254d56b9ee04622154f53d330f55515423481a690ecb5b38632a1a17560c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.5.3", "os": "win", "version": "1.0.0", "date": "2026-06-01T09:04:40.000Z", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "9d857befcdd22800888c404ec36066e09a41b7d4cf75c1cee98f5fff3b054e2b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" }, { "r": "4.6.0", "os": "win", "version": "1.0.0", "date": "2026-06-01T09:04:50.000Z", "commit": "ad4f1c29963fedbfed155ddb45aa759be8e8559c", "fileid": "865d8846d010f42ef1b8f3f51cdd686bbb330ecf1fdb511b9887707c7b3cdc80", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pfryz/actions/runs/26745336591" } ] }