{ "_id": "6a0f77b8acfb0bcc41c62189", "Package": "tsforecast", "Type": "Package", "Title": "Time Series Forecasting Functions", "Version": "1.3.0", "Date": "2026-01-15", "Authors@R": "c(\nperson(\n\"Ka Yui Karl\", \"Wu\",\nemail = \"karlwuky@suss.edu.sg\",\nrole = c(\"aut\", \"cre\")\n)\n)", "Maintainer": "Ka Yui Karl Wu ", "Language": "en-GB", "Description": "Fundamental time series forecasting models such as\nautoregressive integrated moving average (ARIMA), exponential\nsmoothing, and simple moving average are included. For ARIMA\nmodels, the output follows the traditional parameterisation by\nBox and Jenkins (1970, ISBN: 0816210942, 9780816210947).\nFurthermore, there are functions for detailed time series\nexploration and decomposition, respectively. All data and\nresult visualisations are generated by 'ggplot2' instead of\nconventional R graphical output. For more details regarding the\ntheoretical background of the models see Hyndman, R.J. and\nAthanasopoulos, G. (2021) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 06:04:51 UTC", "User": "root" }, "Author": "Ka Yui Karl Wu [aut, cre]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-01-21 12:40:02 UTC", "RemoteUrl": "https://github.com/cran/tsforecast", "RemoteRef": "HEAD", "RemoteSha": "05c2d041804f6ffea427cd1f9e90fc33b618f42c", "MD5sum": "e7b33c662cccd3a0ce7e48acda7d05e9", "_user": "cran", "_type": "src", "_file": "tsforecast_1.3.0.tar.gz", "_fileid": "c46d675640c68d96560665869b87c263b151709470d7fabbb9c3a7e9216925f8", "_filesize": 372943, "_sha256": "c46d675640c68d96560665869b87c263b151709470d7fabbb9c3a7e9216925f8", "_created": "2026-05-21T06:04:51.000Z", "_published": "2026-05-21T21:23:04.353Z", "_distro": "noble", "_jobs": [ { "job": 77271409544, "time": 146, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7128425742" }, { "job": 77271409607, "time": 147, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7128426290" }, { "job": 77271408830, "time": 179, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7128393327" }, { "job": 77271408823, "time": 111, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7147520865" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26208381670", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/tsforecast", "_commit": { "id": "05c2d041804f6ffea427cd1f9e90fc33b618f42c", "author": "Ka Yui Karl Wu ", "committer": "cran-robot ", "message": "version 1.3.0\n", "time": 1768999202 }, "_maintainer": { "name": "Ka Yui Karl Wu", "email": "karlwuky@suss.edu.sg" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "ggplot2", "role": "Imports" }, { "package": "lubridate", "role": "Imports" }, { "package": "forecast", "role": "Imports" }, { "package": "tseries", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-50", "n": 1 }, { "week": "2025-51", "n": 2 }, { "week": "2026-04", "n": 1 } ], "_tags": [ { "name": "1.1.0", "date": "2025-12-12" }, { "name": "1.2.0", "date": "2025-12-15" }, { "name": "1.2.1", "date": "2025-12-19" }, { "name": "1.3.0", "date": "2026-01-21" } ], "_stars": 1, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 153, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/tsforecast" }, "_searchresults": 5, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/tsforecast.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.1.0", "date": "2025-12-12" }, { "version": "1.2.0", "date": "2025-12-15" }, { "version": "1.2.1", "date": "2025-12-19" }, { "version": "1.3.0", "date": "2026-01-21" } ], "_exports": [ "is.outlier", "tsacf", "tsacov", "tsarima", "tsattrcopy", "tsboxplot", "tsccf", "tsccov", "tsconvert", "tsdecomp", "tsdiff", "tsesm", "tsexplore", "tsforecast", "tsfreq", "tshistogram", "tslag", "tslineplot", "tslm", "tsmltest", "tsmodeleval", "tsmovav", "tsname", "tspacf", "tsqqplot", "tsscatterplot", "tstime", "tstimegap" ], "_datasets": [ { "name": "airport", "title": "Airport Travellers Time Series.", "object": "airport", "class": [ "data.frame" ], "fields": [ "Date", "Travellers", "AvgTemp", "AvgRain" ], "rows": 84, "table": true, "tojson": true } ], "_help": [ { "page": "airport", "title": "Airport Travellers Time Series.", "topics": [ "airport" ] }, { "page": "is.outlier", "title": "Outlier Identification", "topics": [ "is.outlier" ] }, { "page": "predict", "title": "Predict Time Series Values", "topics": [ "predict", "predict.tsarima", "predict.tsesm", "predict.tslm", "print.tspredict" ] }, { "page": "ts-functions", "title": "Extract Information of a Time Series", "topics": [ "ts-functions", "tsattrcopy", "tsfreq", "tsname", "tstime", "tstimegap" ] }, { "page": "tsacf", "title": "Auto- Covariance and -Correlation Function Estimation", "topics": [ "plot.tsacf", "print.tsacf", "tsacf", "tsacov", "tsccf", "tsccov", "tspacf" ] }, { "page": "tsarima", "title": "Fitting ARIMA Models", "topics": [ "print.tsarima", "summary.tsarima", "tsarima" ] }, { "page": "tsboxplot", "title": "Box Plots", "topics": [ "tsboxplot" ] }, { "page": "tsconvert", "title": "Convert One-Dimensional Data to Time Series", "topics": [ "tsconvert" ] }, { "page": "tsdecomp", "title": "Decompose a Time Series", "topics": [ "plot.tsdecomp", "print.tsdecomp", "tsdecomp" ] }, { "page": "tsdiff", "title": "Difference a Time Series", "topics": [ "tsdiff" ] }, { "page": "tsesm", "title": "Exponential Smoothing Forecasts", "topics": [ "print.tsesm", "summary.tsesm", "tsesm" ] }, { "page": "tsexplore", "title": "Explore a Time Series Numerically and Graphically", "topics": [ "plot.tsexplore", "print.tsexplore", "tsexplore" ] }, { "page": "tsforecast", "title": "Forecast Time Series based on Fitted Models", "topics": [ "get_forecast", "plot.tsforecast", "print.tsforecast", "tsforecast", "tsforecast.tsarima", "tsforecast.tsesm", "tsforecast.tslm" ] }, { "page": "tshistogram", "title": "Histograms", "topics": [ "tshistogram" ] }, { "page": "tslag", "title": "Lag a Time Series", "topics": [ "tslag" ] }, { "page": "tslineplot", "title": "Time Series Line Plots", "topics": [ "tslineplot" ] }, { "page": "tslm", "title": "Generate Time Series Regression Model", "topics": [ "print.tslm", "summary.tslm", "tslm" ] }, { "page": "tsmltest", "title": "McLeod-Li Test for ARCH Effect", "topics": [ "tsmltest" ] }, { "page": "tsmodeleval", "title": "Goodness of Fit of a Time Series Model", "topics": [ "tsmodeleval" ] }, { "page": "tsmovav", "title": "Generate Moving Averages of a Time Series", "topics": [ "plot.tsmovav", "print.tsmovav", "tsmovav" ] }, { "page": "tsqqplot", "title": "Quantile-Quantile Plots", "topics": [ "tsqqplot" ] }, { "page": "tsscatterplot", "title": "Scatter Plot", "topics": [ "tsscatterplot" ] } ], "_rundeps": [ "cli", "colorspace", "cpp11", "curl", "farver", "forecast", "fracdiff", "generics", "ggplot2", "glue", "gtable", "isoband", "jsonlite", "labeling", "lattice", "lifecycle", "lmtest", "lubridate", "magrittr", "nlme", "nnet", "quadprog", "quantmod", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "rlang", "S7", "scales", "timechange", "timeDate", "tseries", "TTR", "urca", "vctrs", "viridisLite", "withr", "xts", "zoo" ], "_score": 1.4771212547196624, "_indexed": true, "_nocasepkg": "tsforecast", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.3.0", "date": "2026-05-21T06:06:56.000Z", "distro": "noble", "commit": "05c2d041804f6ffea427cd1f9e90fc33b618f42c", "fileid": "f9cdeef45a84473032bbabe23a63383d1f9bc5f952bd29a3c66c940b0108aab5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26208381670" }, { "r": "4.6.0", "os": "linux", "version": "1.3.0", "date": "2026-05-21T06:06:58.000Z", "distro": "noble", "commit": "05c2d041804f6ffea427cd1f9e90fc33b618f42c", "fileid": "f6f3d08e26b10231cfa9b35954cdcd481a0d94f72659641078ef65f04de0181c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26208381670" }, { "r": "4.6.0", "os": "wasm", "version": "1.3.0", "date": "2026-05-21T21:22:45.000Z", "commit": "05c2d041804f6ffea427cd1f9e90fc33b618f42c", "fileid": "416b2cbbb40c445a5fddd451f273afff1a93c624dc71c63764f7ae55bfa40ab2", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26208381670" } ] }