{ "_id": "6a1f1dd7b401979e7341fc90", "Package": "GET", "Version": "1.0-8", "Date": "2025-05-20", "Title": "Global Envelopes", "Encoding": "UTF-8", "Authors@R": "c(\nperson(given = 'Mari', family = 'Myllymäki', role = c('aut', 'cre'),\nemail = 'mari.myllymaki@luke.fi'),\nperson(given = 'Tomáš', family = 'Mrkvička', role = 'aut',\nemail = 'mrkvicka.toma@gmail.com'),\nperson(given = 'Mikko', family = 'Kuronen', role = 'ctb',\nemail = 'mikko.kuronen@luke.fi'),\nperson(given = 'Jiří', family = 'Dvořák', role = 'ctb',\nemail = 'dvorak@karlin.mff.cuni.cz'),\nperson(given = 'Pavel', family = 'Grabarnik', role = 'ctb',\nemail = 'gpya@rambler.ru'),\nperson(given = 'Ute', family = 'Hahn', role = 'ctb',\nemail = 'ute@math.au.dk'),\nperson(given = 'Michael', family = 'Rost', role = 'ctb',\nemail = 'rost@ef.jcu.cz'),\nperson(given = 'Henri', family = 'Seijo', role = 'ctb',\nemail = 'henri.seijo@iki.fi')\n)", "Maintainer": "Mari Myllymäki ", "Description": "Implementation of global envelopes for a set of general\nd-dimensional vectors T in various applications. A\n100(1-alpha)% global envelope is a band bounded by two vectors\nsuch that the probability that T falls outside this envelope in\nany of the d points is equal to alpha. Global means that the\nprobability is controlled simultaneously for all the d elements\nof the vectors. The global envelopes can be used for graphical\nMonte Carlo and permutation tests where the test statistic is a\nmultivariate vector or function (e.g. goodness-of-fit testing\nfor point patterns and random sets, functional analysis of\nvariance, functional general linear model, n-sample test of\ncorrespondence of distribution functions), for central regions\nof functional or multivariate data (e.g. outlier detection,\nfunctional boxplot) and for global confidence and prediction\nbands (e.g. confidence band in polynomial regression, Bayesian\nposterior prediction). See Myllymäki and Mrkvička (2024)\n, Myllymäki et al. (2017)\n, Mrkvička and Myllymäki (2023)\n, Mrkvička et al. (2016)\n, Mrkvička et al. (2017)\n, Mrkvička et al. (2020)\n, Mrkvička et al. (2021)\n, Myllymäki et al. (2021)\n, Mrkvička et al. (2022)\n, Dai et al. (2022)\n, Dvořák and Mrkvička (2022)\n, Mrkvička et al. (2023)\n, and Konstantinou et al. (2024)\n.", "License": "GPL-3", "RoxygenNote": "7.3.3", "URL": "https://github.com/myllym/GET", "BugReports": "https://github.com/myllym/GET/issues", "VignetteBuilder": "R.rsp", "Repository": "https://myllym.r-universe.dev", "Date/Publication": "2026-03-05 14:43:07 UTC", "RemoteUrl": "https://github.com/myllym/get", "RemoteRef": "HEAD", "RemoteSha": "0e78a6070d6ec825ae3122ea53217dbb518f2f4f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 08:34:13 UTC", "User": "root" }, "Author": "Mari Myllymäki [aut, cre],\nTomáš Mrkvička [aut],\nMikko Kuronen [ctb],\nJiří Dvořák [ctb],\nPavel Grabarnik [ctb],\nUte Hahn [ctb],\nMichael Rost [ctb],\nHenri Seijo [ctb]", "MD5sum": "b0a69315f95b27471b170a2569a9f937", "_user": "myllym", "_type": "src", "_file": "GET_1.0-8.tar.gz", "_fileid": "ff13e0335000200bf1008c9bdb6cf9ae117bdca6ab244b65cd3374c8ef8ca7fe", "_filesize": 7075726, "_sha256": "ff13e0335000200bf1008c9bdb6cf9ae117bdca6ab244b65cd3374c8ef8ca7fe", "_created": "2026-05-16T08:34:13.000Z", "_published": "2026-06-02T18:15:51.767Z", "_distro": "noble", "_jobs": [ { "job": 79140895787, "time": 208, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "7032005930" }, { "job": 79140895672, "time": 203, "config": "linux-release-x86_64", "r": "4.6.0", "check": "WARNING", "artifact": "7032005436" }, { "job": 79140896244, "time": 183, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "7032001213" }, { "job": 79140895660, "time": 211, "config": "macos-release-arm64", "r": "4.6.0", "check": "WARNING", "artifact": "7032003232" }, { "job": 79140895445, "time": 206, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7031984186" }, { "job": 79140894821, "time": 124, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7366173399" }, { "job": 79140895774, "time": 137, "config": "windows-devel", "r": "4.7.0", "check": "WARNING", "artifact": "7031998334" }, { "job": 79140895713, "time": 148, "config": "windows-oldrel", "r": "4.5.3", "check": "WARNING", "artifact": "7031999414" }, { "job": 79140896083, "time": 152, "config": "windows-release", "r": "4.6.0", "check": "WARNING", "artifact": "7032000025" } ], "_buildurl": "https://github.com/r-universe/myllym/actions/runs/25957373801", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/myllym/get", "_commit": { "id": "0e78a6070d6ec825ae3122ea53217dbb518f2f4f", "author": "Myllymäki Mari (LUKE) ", "committer": "Myllymäki Mari (LUKE) ", "message": "Allow SpatialPointsDataFrame data in GET.variogram.\n\nUpdate a check of names of variables that can be found in the provided\ndata. I.e. allow the coordinate names from the 'coordinates'.\n", "time": 1772721787 }, "_maintainer": { "name": "Mari Myllymäki", "email": "mari.myllymaki@luke.fi", "login": "myllym", "twitter": "@mari_myllymaki", "uuid": 5747752 }, "_registered": true, "_dependencies": [ { "package": "cluster", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "grid", "role": "Imports" }, { "package": "gridExtra", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "viridisLite", "role": "Imports" }, { "package": "crayon", "role": "Suggests" }, { "package": "datasets", "role": "Suggests" }, { "package": "geoR", "role": "Suggests" }, { "package": "gstat", "role": "Suggests" }, { "package": "fda", "role": "Suggests" }, { "package": "fda.usc", "role": "Suggests" }, { "package": 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"object": "cgec", "file": "cgec.RData", "class": [ "list" ], "fields": [], "table": false, "tojson": false }, { "name": "fallen_trees", "title": "Fallen trees", "object": "fallen_trees", "file": "fallen_trees.RData", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "GDP", "title": "GDP", "object": "GDP", "file": "GDP.RData", "class": [ "curve_set", "list" ], "fields": [], "table": false, "tojson": true }, { "name": "GDPtax", "title": "GDP per capita with country groups and profit tax", "object": "GDPtax", "file": "GDPtax.RData", "class": [ "list" ], "fields": [], "table": false, "tojson": false }, { "name": "imageset3", "title": "A simulated set of images", "object": "imageset3", "file": "imageset3.RData", "class": [ "list" ], "fields": [], "table": false, "tojson": false }, { "name": "naturalness", "title": "Simulated data set", "object": "naturalness", "file": "naturalness.RData", "class": [ "data.frame" ], "fields": [ "DominantSpecies", "Naturalness", "Age" ], "rows": 773, "table": true, "tojson": true }, { "name": "popgrowthmillion", "title": "Population growth", "object": "popgrowthmillion", "file": "popgrowthmillion.RData", "class": [ "matrix", "array" ], "fields": [ "Burundi", "Eritrea", "Ethiopia", "Kenya", "Madagascar", "Malawi", "Mozambique", "Rwanda", "Somalia", "South Sudan", "Uganda", "United Republic of Tanzania", "Zambia", "Zimbabwe", "Angola", "Cameroon", "Central African Republic", "Chad", "Democratic Republic of the Congo", "Algeria", "Egypt", "Libya", "Morocco", "Sudan", "Tunisia", "South Africa", "Benin", "Burkina Faso", "Cote d'Ivoire", "Ghana", "Guinea", "Mali", "Niger", "Nigeria", "Senegal", "Sierra Leone", "Togo", "China", "China, Hong Kong SAR", "Dem. People's Republic of Korea", "Japan", "Republic of Korea", "Other non-specified areas", "Kazakhstan", "Kyrgyzstan", "Tajikistan", "Turkmenistan", "Uzbekistan", "Afghanistan", "Bangladesh", "India", "Iran (Islamic Republic of)", "Nepal", "Pakistan", "Sri Lanka", "Cambodia", "Indonesia", "Lao People's Democratic Republic", "Malaysia", "Myanmar", "Philippines", "Singapore", "Thailand", "Viet Nam", "Armenia", "Azerbaijan", "Georgia", "Iraq", "Israel", "Lebanon", "Saudi Arabia", "Syrian Arab Republic", "Turkey", "Yemen", "Belarus", "Bulgaria", "Czech Republic", "Hungary", "Poland", "Republic of Moldova", "Romania", "Russian Federation", "Slovakia", "Ukraine", "Denmark", "Estonia", "Finland", "Ireland", "Latvia", "Lithuania", "Norway", "Sweden", "United Kingdom", "Albania", "Bosnia and Herzegovina", "Croatia", "Greece", "Italy", "Portugal", "Serbia", "Slovenia", "Spain", "TFYR Macedonia", "Austria", "Belgium", "France", "Germany", "Netherlands", "Switzerland", "Cuba", "Dominican Republic", "Haiti", "Jamaica", "Puerto Rico", "El Salvador", "Guatemala", "Honduras", "Mexico", "Nicaragua", "Argentina", "Bolivia (Plurinational State of)", "Brazil", "Chile", "Colombia", "Ecuador", "Paraguay", "Peru", "Uruguay", "Venezuela (Bolivarian Republic of)", "Canada", "United States of America", "Australia", "New Zealand", "Papua New Guinea" ], "rows": 65, "table": true, "tojson": true }, { "name": "rimov", "title": "Year temperature curves", "object": "rimov", "file": "rimov.RData", "class": [ "curve_set" ], "fields": [], "table": false, "tojson": false }, { "name": "roadcrash", "title": "Road crashes", "object": "roadcrash", "file": "roadcrash.RData", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "saplings", "title": "Saplings data set", "object": "saplings", "file": "saplings.RData", "class": [ "data.frame" ], "fields": [ "x", "y" ], "rows": 123, "table": true, "tojson": true } ], "_help": [ { "page": "GET-package", "title": "Global Envelopes", "topics": [ "GET-package", "GET" ] }, { "page": "abide_9002_23", "title": "Local brain activity at resting state", "topics": [ "abide_9002_23" ] }, { "page": "adult_trees", "title": "Adult trees data set", "topics": [ "adult_trees" ] }, { "page": "as.curve_set", "title": "Convert an envelope or fdata object to a curve_set object", "topics": [ "as.curve_set" ] }, { "page": "central_region", "title": "Central region / Global envelope", "topics": [ "central_region", "global_envelope" ] }, { "page": "cgec", "title": "Centred government expenditure centralization ratios", "topics": [ "cgec" ] }, { "page": "combined_scaled_MAD_envelope_test", "title": "Combined global scaled maximum absolute difference (MAD) envelope tests", "topics": [ "combined_scaled_MAD_envelope_test" ] }, { "page": "create_image_set", "title": "Create a curve set of images", "topics": [ "create_image_set" ] }, { "page": "crop_curves", "title": "Crop the curves", "topics": [ "crop_curves" ] }, { "page": "curve_set", "title": "Create a curve_set object", "topics": [ "create_curve_set", "curve_set" ] }, { "page": "deviation_test", "title": "Deviation test", "topics": [ "deviation_test" ] }, { "page": "fallen_trees", "title": "Fallen trees", "topics": [ "fallen_trees" ] }, { "page": "fBoxplot", "title": "Functional boxplot", "topics": [ "fBoxplot" ] }, { "page": "fclustering", "title": "Functional clustering", "topics": [ "fclustering" ] }, { "page": "fdr_envelope", "title": "The FDR envelope", "topics": [ "fdr_envelope" ] }, { "page": "forder", "title": "Functional ordering", "topics": [ "forder" ] }, { "page": "frank.fanova", "title": "Rank envelope F-test", "topics": [ "frank.fanova" ] }, { "page": "frank.flm", "title": "F rank functional GLM", "topics": [ "frank.flm" ] }, { "page": "GDP", "title": "GDP", "topics": [ "GDP" ] }, { "page": "GDPtax", "title": "GDP per capita with country groups and profit tax", "topics": [ "GDPtax" ] }, { "page": "geom_central_region", "title": "Central region plot", "topics": [ "geom_central_region", "stat_central_region" ] }, { "page": "GET.composite", "title": "Adjusted global envelope tests", "topics": [ "dg.global_envelope_test", "GET.composite" ] }, { "page": "GET.distrequal", "title": "Graphical n sample test of correspondence of distribution functions", "topics": [ "GET.distrequal", "GET.necdf" ] }, { "page": "GET.distrindep", "title": "Test of independence of two general distributions", "topics": [ "GET.distrindep" ] }, { "page": "GET.localcor", "title": "The test of local correlations", "topics": [ "GET.localcor" ] }, { "page": "GET.spatialF", "title": "Testing global and local dependence of point patterns on covariates", "topics": [ "GET.spatialF" ] }, { "page": "GET.variogram", "title": "Variogram and residual variogram with global envelopes", "topics": [ "GET.variogram" ] }, { "page": "global_envelope_test", "title": "Global envelope test", "topics": [ "global_envelope_test" ] }, { "page": "global_rq", "title": "Global quantile regression", "topics": [ "global_rq" ] }, { "page": "graph.fanova", "title": "One-way graphical functional ANOVA", "topics": [ "graph.fanova" ] }, { "page": "graph.flm", "title": "Graphical functional GLM", "topics": [ "graph.flm" ] }, { "page": "hotspots.MatClustlpp", "title": "Hot spots detection for Matern point process - parallel version", "topics": [ "hotspots.MatClustlpp" ] }, { "page": "hotspots.poislpp", "title": "Hot spots detection for Poisson point process - parallel version", "topics": [ "hotspots.poislpp" ] }, { "page": "imageset3", "title": "A simulated set of images", "topics": [ "imageset3" ] }, { "page": "is.curve_set", "title": "Check class.", "topics": [ "is.curve_set" ] }, { "page": "MatClust.lppm", "title": "Fit a Matern cluster point process to a point pattern dataset on a linear network", "topics": [ "MatClust.lppm" ] }, { "page": "naturalness", "title": "Simulated data set", "topics": [ "naturalness" ] }, { "page": "partial_forder", "title": "Functional ordering in parts", "topics": [ "combine_forder", "partial_forder" ] }, { "page": "plot.combined_fboxplot", "title": "Plot method for the class 'combined_fboxplot'", "topics": [ "plot.combined_fboxplot" ] }, { "page": "plot.combined_global_envelope", "title": "Plot method for the class 'combined_global_envelope'", "topics": [ "plot.combined_global_envelope" ] }, { "page": "plot.combined_global_envelope2d", "title": "Plotting function for combined 2d global envelopes", "topics": [ "plot.combined_global_envelope2d" ] }, { "page": "plot.curve_set", "title": "Plot method for the class 'curve_set'", "topics": [ "plot.curve_set" ] }, { "page": "plot.curve_set2d", "title": "Plot method for the class 'curve_set2d'", "topics": [ "plot.curve_set2d" ] }, { "page": "plot.fboxplot", "title": "Plot method for the class 'fboxplot'", "topics": [ "plot.fboxplot" ] }, { "page": "plot.fclust", "title": "Plot method for the class 'fclust'", "topics": [ "plot.fclust" ] }, { "page": "plot.global_envelope", "title": "Plot method for the class 'global_envelope'", "topics": [ "plot.global_envelope" ] }, { "page": "plot.global_envelope2d", "title": "Plotting function for 2d global envelopes", "topics": [ "plot.global_envelope2d" ] }, { "page": "pois.lppm", "title": "Fit a Poisson point process model to a point pattern dataset on a linear network", "topics": [ "pois.lppm" ] }, { "page": "popgrowthmillion", "title": "Population growth", "topics": [ "popgrowthmillion" ] }, { "page": "print.combined_fboxplot", "title": "Print method for the class 'combined_fboxplot'", "topics": [ "print.combined_fboxplot" ] }, { "page": "print.combined_global_envelope", "title": "Print method for the class 'combined_global_envelope'", "topics": [ "print.combined_global_envelope" ] }, { "page": "print.curve_set", "title": "Print method for the class 'curve_set'", "topics": [ "print.curve_set" ] }, { "page": "print.deviation_test", "title": "Print method for the class 'deviation_test'", "topics": [ "print.deviation_test" ] 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