{ "_id": "6acf6fc7e2d863f6629521bf", "Package": "funData", "Type": "Package", "Title": "An S4 Class for Functional Data", "Version": "1.3-9", "Date": "2024-02-10", "Authors@R": "person(\"Clara\", \"Happ-Kurz\", email = \"chk_R@gmx.de\",\nrole = c(\"aut\", \"cre\"))", "Author": "Clara Happ-Kurz [aut, cre]", "Maintainer": "Clara Happ-Kurz ", "Description": "S4 classes for univariate and multivariate functional data\nwith utility functions. See for a\ndetailed description of the package functionalities and its\ninterplay with the MFPCA package for multivariate functional\nprincipal component analysis\n.", "URL": "https://github.com/ClaraHapp/funData", "License": "GPL-2", "RoxygenNote": "7.3.1", "Encoding": "UTF-8", "Collate": "'funDataClass.R' 'coerce.R' 'funDataMethods.R' 'get_set.R'\n'names.R' 'plotMethods.R' 'simulation.R' 'str.R' 'subset.R'\n'summary.R' 'zzz.R'", "Repository": "https://clarahapp.r-universe.dev", "Date/Publication": "2024-02-16 13:13:06 UTC", "RemoteUrl": "https://github.com/clarahapp/fundata", "RemoteRef": "HEAD", "RemoteSha": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-14 11:57:47 UTC", "User": "root" }, "_user": "clarahapp", "_type": "src", "_file": "funData_1.3-9.tar.gz", "_fileid": "https://r2.ropensci.org/2ea73e56396f554dab843478be04bbab3cff6f83db2b6fe3d5787bfca7d269d3", "_filesize": 422475, "_sha256": "2ea73e56396f554dab843478be04bbab3cff6f83db2b6fe3d5787bfca7d269d3", "_expires": "2027-01-22T12:04:21.000Z", "_created": "2026-10-14T11:57:47.000Z", "_published": "2026-10-14T12:04:23.632Z", "_buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 115839582074, "time": 130, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11890949695" }, { "job": 115839582122, "time": 138, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11891863745" }, { "job": 115839582086, "time": 111, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11891399562" }, { "job": 115839582076, "time": 119, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11892305393" }, { "job": 115837824736, "time": 265, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11891084181" }, { "job": 115839582180, "time": 111, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11890904646" }, { "job": 115839582115, "time": 105, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11891843660" }, { "job": 115839582050, "time": 90, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11891428746" }, { "job": 115839582269, "time": 107, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11892128342" } ], "_upstream": "https://github.com/clarahapp/fundata", "_commit": { "id": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "author": "Clara Happ-Kurz ", "committer": "GitHub ", "message": "Merge pull request #23 from ClaraHapp/CRAN_fix_docu\n\nCran fix docu", "time": 1708089186 }, "_maintainer": { "name": "Clara Happ-Kurz", "email": "chk_r@gmx.de" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "methods", "role": "Depends" }, { "package": "abind", "role": "Imports" }, { "package": "fields", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "covr", "role": "Suggests" }, { "package": "fda", "role": "Suggests" }, { "package": "ggplot2", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "gridExtra", "role": "Suggests" }, { "package": "reshape2", "role": "Suggests" }, { "package": "zoo", "role": "Suggests" }, { "package": "testthat", "version": ">= 2.0.0", "role": "Suggests" } ], "_owner": "clarahapp", "_selfowned": true, "_usedby": 7, "_updates": [], "_tags": [], "_stars": 14, "_contributors": [ { "user": "clarahapp", "count": 351, "uuid": 12896601 } ], "_userbio": { "uuid": 12896601, "type": "user", "name": "Clara Happ-Kurz", "followers": 28 }, "_downloads": { "count": 691, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/funData" }, "_devurl": "https://github.com/clarahapp/fundata", "_searchresults": 156, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/funData.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/clarahapp/fundata", "_realowner": "clarahapp", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2016-07-18" }, { "version": "1.1", "date": "2017-06-10" }, { "version": "1.2", "date": "2018-02-21" }, { "version": "1.3", "date": "2018-08-09" }, { "version": "1.3-1", "date": "2018-10-02" }, { "version": "1.3-2", "date": "2018-10-09" }, { "version": "1.3-3", "date": "2019-03-10" }, { "version": "1.3-4", "date": "2019-12-18" }, { "version": "1.3-5", "date": "2020-04-25" }, { "version": "1.3-7", "date": "2021-08-04" }, { "version": "1.3-8", "date": "2021-10-17" }, { "version": "1.3-9", "date": "2024-02-14" } ], "_exports": [ ".intWeights", "addError", "approxNA", "argvals", "argvals<-", "as.data.frame", "as.funData", "as.irregFunData", "as.multiFunData", "autolayer.funData", "autolayer.irregFunData", "autoplot.funData", "autoplot.irregFunData", "autoplot.multiFunData", "dimSupp", "eFun", "eVal", "extractObs", "fd2funData", "flipFuns", "funData", "funData2fd", "getArgvals", "getX", "ggplot", "integrate", "irregFunData", "meanFunction", "multiFunData", "nObs", "nObsPoints", "norm", "plot", "scalarProduct", "setArgvals", "setX", "show", "simFunData", "simMultiFunData", "sparsify", "str", "subset", "summary", "tensorProduct", "X", "X<-" ], "_help": [ { "page": "dot-intWeights", "title": "Calculate weights for numerical integration", "topics": [ ".intWeights" ] }, { "page": "dot-scalarProduct", "title": "Generic method for scalar products, based on integrate", "topics": [ ".scalarProduct" ] }, { "page": "addError", "title": "Add Gaussian white noise to functional data objects", "topics": [ "addError" ] }, { "page": "approxNA", "title": "Approximate missing values for funData objects", "topics": [ "approxNA" ] }, { "page": "Arith.funData", "title": "Arithmetics for functional data objects", "topics": [ "Arith,funData,funData-method", "Arith,funData,irregFunData-method", "Arith,funData,numeric-method", "Arith,irregFunData,funData-method", "Arith,irregFunData,irregFunData-method", "Arith,irregFunData,numeric-method", "Arith,multiFunData,multiFunData-method", "Arith,multiFunData,numeric-method", "Arith,numeric,funData-method", "Arith,numeric,irregFunData-method", "Arith,numeric,multiFunData-method", "Arith.funData" ] }, { "page": "as.data.frame.funData", "title": "Coerce functional data objects to a data.frame", "topics": [ "as.data.frame,funData-method", "as.data.frame,irregFunData-method", "as.data.frame,multiFunData-method", "as.data.frame.funData" ] }, { "page": "as.funData", "title": "Coerce an irregFunData object to class funData", "topics": [ "as.funData", "as.funData,irregFunData-method" ] }, { "page": "as.irregFunData", "title": "Coerce a funData object to class irregFunData", "topics": [ "as.irregFunData", "as.irregFunData,funData-method" ] }, { "page": "as.multiFunData", "title": "Coerce a funData object to class multiFunData", "topics": [ "as.multiFunData", "as.multiFunData,funData-method" ] }, { "page": "autoplot.funData", "title": "Visualize functional data objects using ggplot", "topics": [ "autolayer.funData", "autoplot.funData" ] }, { "page": "autoplot.irregFunData", "title": "Visualize irregular functional data objects using ggplot", "topics": [ "autolayer.irregFunData", "autoplot.irregFunData" ] }, { "page": "autoplot.multiFunData", "title": "Visualize multivariate functional data objects using ggplot", "topics": [ "autoplot.multiFunData" ] }, { "page": "dimSupp", "title": "Support dimension of functional data", "topics": [ "dimSupp" ] }, { "page": "eFun", "title": "Generate orthonormal eigenfunctions", "topics": [ "eFun" ] }, { "page": "eVal", "title": "Generate a sequence of simulated eigenvalues", "topics": [ "eVal" ] }, { "page": "extractObs", "title": "Extract observations of functional data", "topics": [ "extractObs", "subset,funData-method", "subset,irregFunData-method", "subset,multiFunData-method", "[,funData,ANY,missing,missing-method", "[,irregFunData,ANY,missing,missing-method", "[,multiFunData,ANY,missing,missing-method" ] }, { "page": "fd2funData", "title": "Convert an fd object to funData", "topics": [ "fd2funData" ] }, { "page": "flipFuns", "title": "Flip functional data objects", "topics": [ "flipFuns" ] }, { "page": "funData-class", "title": "A class for (univariate) functional data", "topics": [ "funData", "funData,list,array-method", "funData,numeric,array-method", "funData-class", "names,funData-method", "names<-,funData-method", "show,funData-method", "str,funData-method", "summary,funData-method" ] }, { "page": "funData2fd", "title": "Convert a funData object to fd", "topics": [ "funData2fd" ] }, { "page": "ggplot", "title": "ggplot Graphics for Functional Data Objects", "topics": [ "ggplot", "ggplot,funData-method", "ggplot,irregFunData-method", "ggplot,multiFunData-method" ] }, { "page": "integrate", "title": "Integrate functional data", "topics": [ "integrate" ] }, { "page": "irregFunData-class", "title": "A class for irregularly sampled functional data", "topics": [ "irregFunData", "irregFunData,list,list-method", "irregFunData-class", "names,irregFunData-method", "names<-,irregFunData-method", "show,irregFunData-method", "str,irregFunData-method", "summary,irregFunData-method" ] }, { "page": "Math.funData", "title": "Mathematical operations for functional data objects", "topics": [ "Math,funData-method", "Math,irregFunData-method", "Math,multiFunData-method", "Math.funData" ] }, { "page": "meanFunction", "title": "Mean for functional data", "topics": [ "meanFunction" ] }, { "page": "multiFunData-class", "title": "A class for multivariate functional data", "topics": [ "multiFunData", "multiFunData,ANY-method", "multiFunData-class", "names,multiFunData-method", "names<-,multiFunData-method", "str,multiFunData-method", "summary,multiFunData-method" ] }, { "page": "nObs", "title": "Get the number of observations", "topics": [ "nObs" ] }, { "page": "nObsPoints", "title": "Get the number of observation points", "topics": [ "nObsPoints" ] }, { "page": "norm", "title": "Calculate the norm of functional data", "topics": [ "norm" ] }, { "page": "plot.funData", "title": "Plotting univariate functional data", "topics": [ "plot,funData,missing-method", "plot.funData" ] }, { "page": "plot.irregFunData", "title": "Plotting irregular functional data", "topics": [ "plot,irregFunData,missing-method", "plot.irregFunData" ] }, { "page": "plot.multiFunData", "title": "Plotting multivariate functional data", "topics": [ "plot,multiFunData,missing-method", "plot.multiFunData" ] }, { "page": "scalarProduct", "title": "Calculate the scalar product for functional data objects", "topics": [ "scalarProduct" ] }, { "page": "simFunData", "title": "Simulate univariate functional data", "topics": [ "simFunData" ] }, { "page": "simMultiFunData", "title": "Simulate multivariate functional data", "topics": [ "simMultiFunData" ] }, { "page": "sparsify", "title": "Generate a sparse version of functional data objects", "topics": [ "sparsify" ] }, { "page": "tensorProduct", "title": "Tensor product for univariate functions on one-dimensional domains", "topics": [ "tensorProduct" ] } ], "_readme": "https://github.com/clarahapp/fundata/raw/HEAD/README.md", "_rundeps": [ "abind", "codetools", "dotCall64", "fields", "foreach", "iterators", "maps", "RColorBrewer", "Rcpp", "spam", "viridisLite" ], "_score": 6.3604419331026385, "_indexed": true, "_nocasepkg": "fundata", "_universes": [ "clarahapp" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.3-9", "date": "2026-10-14T11:59:57.000Z", "distro": "resolute", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/d7b2e6dc53d4afafcbde1383932003e03c8ee7fc08eb8e619ca7f8cf49f12fc3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.6.1", "os": "linux", "version": "1.3-9", "date": "2026-10-14T11:59:55.000Z", "distro": "resolute", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/65b60332f2312dbd58a035058da9430bc0b1eceb15a540a01bac5a09c889ab9d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.5.3", "os": "mac", "version": "1.3-9", "date": "2026-10-14T12:03:16.000Z", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/12117cc0001fff820c138425eff0d374e020263b8b4c942f740f189d3d530fe8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.6.1", "os": "mac", "version": "1.3-9", "date": "2026-10-14T12:03:34.000Z", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/690f1edc55a5a8fea1b607db32dcd5cd9546a198cc6afebfe5c1b142c8881e69", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.6.0", "os": "wasm", "version": "1.3-9", "date": "2026-10-14T12:00:01.000Z", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/08d20477c12df991f316bbc1861f30c7bfbbd4b4c10b68e0874cd70ecf1629b7", "status": "success", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.7.0", "os": "win", "version": "1.3-9", "date": "2026-10-14T11:59:10.000Z", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/6aafbd7a477c395112e7ab527dd3fae0c41790264ca7fb6d17a9d34e4e21b6f9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.5.3", "os": "win", "version": "1.3-9", "date": "2026-10-14T11:58:59.000Z", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/03d6cf5e863f281bf9da4af8c22f41c353d50ce81338a09f79c59057b300e421", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" }, { "r": "4.6.1", "os": "win", "version": "1.3-9", "date": "2026-10-14T11:59:12.000Z", "commit": "e2939d46c67b43293feb95120e65b1cfc4f0beb1", "fileid": "https://r2.ropensci.org/90754c91811ecf9089df00121beb2bdee49e3fc1ab3fae3f46eff09d807ba9b2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/clarahapp/actions/runs/38559778362" } ] }