{ "_id": "6ad5fa38c5cddeca72012c52", "Package": "COST", "Type": "Package", "Title": "Copula-Based Semiparametric Models for Spatio-Temporal Data", "Version": "0.1.0", "Author": "Yanlin Tang, Huixia Judy Wang", "Maintainer": "Yanlin Tang ", "Description": "Parameter estimation, one-step ahead forecast and new\nlocation prediction methods for spatio-temporal data.", "License": "GPL", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.1.1", "ByteCompile": "yes", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-19 11:05:48 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2019-01-04 10:00:24 UTC", "RemoteUrl": "https://github.com/cran/COST", "RemoteRef": "HEAD", "RemoteSha": "1665b2afd24867668ad924d62b6d01b6d0856bda", "_user": "cran", "_type": "src", "_file": "COST_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/e7cf7629bef02875ceb035e89ef70d601da429b024a66813a106f48ac82b89c2", "_filesize": 309296, "_sha256": "e7cf7629bef02875ceb035e89ef70d601da429b024a66813a106f48ac82b89c2", "_expires": "2027-01-27T11:08:38.000Z", "_created": "2026-10-19T11:05:48.000Z", "_published": "2026-10-19T11:08:40.320Z", "_buildurl": "https://github.com/r-universe/cran/actions/runs/39241784766", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 118025390972, "time": 123, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12182231074" }, { "job": 118025390875, "time": 109, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12182112058" }, { "job": 118024231766, "time": 172, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12181004592" }, { "job": 118025390848, "time": 130, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12182017323" }, { "job": 118025390867, "time": 81, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12181607827" }, { "job": 118025391184, "time": 102, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12181059730" } ], "_upstream": "https://github.com/cran/COST", "_commit": { "id": "1665b2afd24867668ad924d62b6d01b6d0856bda", "author": "Yanlin Tang ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1546596024 }, "_maintainer": { "name": "Yanlin Tang", "email": "yanlintang2018@163.com" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "copula", "role": "Depends" }, { "package": "mvtnorm", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 634, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 324, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/COST" }, "_mentions": 69, "_searchresults": 10, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/COST.html", "extra/manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2019-01-04" } ], "_exports": [ "Data.COST", "example.forecast", "example.prediction", "Forecasts.CF", "Forecasts.COST.G", "Forecasts.COST.t", "Forecasts.GP", "logL.CF", "logL.COST.G", "logL.COST.t", "logL.GP", "Predictions.COST.G", "Predictions.COST.t", "Predictions.GP", "rank.multivariate" ], "_datasets": [ { "name": "location", "title": "Locations of 10 sites", "object": "location", "class": [ "data.frame" ], "fields": [ "X", "x.dir", "y.dir" ], "rows": 10, "table": true, "tojson": true }, { "name": "Wind6month", "title": "Wind speed data from 10 sites", "object": "Wind6month", "class": [ "data.frame" ], "fields": [ "BiddleButte", "ForestGrove", "HoodRiver", "HorseHeaven", "Megler", "NaselleRidge", "Roosevelt", "Shaniko", "Sunnyside", "Tillamook" ], "rows": 4320, "table": true, "tojson": true } ], "_help": [ { "page": "Data.COST", "title": "Data Generation", "topics": [ "Data.COST" ] }, { "page": "example.forecast", "title": "example for one-step ahead forecast", "topics": [ "example.forecast" ] }, { "page": "example.prediction", "title": "example for new location prediction", "topics": [ "example.prediction" ] }, { "page": "Forecasts.CF", "title": "one-step ahead forecast by separate time series analysis", "topics": [ "Forecasts.CF" ] }, { "page": "Forecasts.COST.G", "title": "one-step ahead forecast by Gaussian copula", "topics": [ "Forecasts.COST.G" ] }, { "page": "Forecasts.COST.t", "title": "one-step ahead forecast by t copula", "topics": [ "Forecasts.COST.t" ] }, { "page": "Forecasts.GP", "title": "one-step ahead forecast by Gaussian process fitting", "topics": [ "Forecasts.GP" ] }, { "page": "location", "title": "Locations of 10 sites", "topics": [ "location" ] }, { "page": "logL.CF", "title": "negtive log-likelihood for separate time series analysis", "topics": [ "logL.CF" ] }, { "page": "logL.COST.G", "title": "negtive log-likelihood for Gaussian copula", "topics": [ "logL.COST.G" ] }, { "page": "logL.COST.t", "title": "negtive log-likelihood for t copula", "topics": [ "logL.COST.t" ] }, { "page": "logL.GP", "title": "negtive log-likelihood of Gaussian process", "topics": [ "logL.GP" ] }, { "page": "Predictions.COST.G", "title": "new location prediction by Gaussian copula", "topics": [ "Predictions.COST.G" ] }, { "page": "Predictions.COST.t", "title": "new location prediction by t copula", "topics": [ "Predictions.COST.t" ] }, { "page": "Predictions.GP", "title": "new location prediction by Gaussian process method", "topics": [ "Predictions.GP" ] }, { "page": "rank.multivariate", "title": "multivariate rank of a vector", "topics": [ "rank.multivariate" ] }, { "page": "Wind6month", "title": "Wind speed data from 10 sites", "topics": [ "Wind6month" ] } ], "_rundeps": [ "ADGofTest", "cluster", "colorspace", "copula", "gsl", "lattice", "Matrix", "mvtnorm", "numDeriv", "pcaPP", "pspline", "stabledist" ], "_score": 2, "_indexed": true, "_nocasepkg": "cost", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-10-19T11:07:39.000Z", "distro": "resolute", "commit": "1665b2afd24867668ad924d62b6d01b6d0856bda", "fileid": "https://r2.ropensci.org/4d4c0e71ecde236ce8289d29ee820cac0cdd59490c18cabe21c2b5f58fa7c422", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39241784766" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-10-19T11:07:23.000Z", "distro": "resolute", "commit": "1665b2afd24867668ad924d62b6d01b6d0856bda", "fileid": "https://r2.ropensci.org/13ee67d2a866dbe68c32b6de882f25a916f86c5241c9b7e59ddf596d0bd32224", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39241784766" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-10-19T11:08:14.000Z", "commit": "1665b2afd24867668ad924d62b6d01b6d0856bda", "fileid": "https://r2.ropensci.org/079466bef96f21e87d907dfc45915ea88fb7850e549670ac94fd8dbc73b49ab0", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/39241784766" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-10-19T11:06:49.000Z", "commit": "1665b2afd24867668ad924d62b6d01b6d0856bda", "fileid": "https://r2.ropensci.org/7fe5ab53b5a60604a2a3882f6519f1271d4280d07bb34009c051af139f9d81bc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39241784766" }, { "r": "4.6.1", "os": "win", "version": "0.1.0", "date": "2026-10-19T11:07:03.000Z", "commit": "1665b2afd24867668ad924d62b6d01b6d0856bda", "fileid": "https://r2.ropensci.org/8653d88799627fe9563ad083b8a8dd5273e5a2ddd12e015705bc7c4d94da67c1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39241784766" } ] }