{ "_id": "6a45fab06ff6f23575532984", "Package": "publishTC", "Type": "Package", "Title": "Tools to Help to Publish the Trend-Cycle Component", "Version": "0.2.2", "Authors@R": "c(\nperson(\"Alain\", \"Quartier-la-Tente\", role = c(\"aut\", \"cre\"),\nemail = \"alain.quartier@yahoo.fr\",\ncomment = c(ORCID = \"0000-0001-7890-3857\"))\n)", "Description": "This package provides several functions to facilitate the\ncomputation of trend-cycle component. In particular, the\ncomputation can be done: using the Cascade Linear Filter (CLF)\nDagum, E. B., & Luati, A. (2008); using the classical Henderson\nsymmetric filter and the surrogate Musgrave asymmetric filters;\nusing a local Parametrization of the Musgrave asymmetric\nfilters (Quartier-la-Tente 2024); extending the Henderson\nsymmetric fiter and the surrogate Musgrave asymmetric filters\nto take into account additive outliers and level shifts\n(Quartier-la-Tente 2025). Confidence intervals can be computed\nand several plots are available.", "LazyData": "true", "Remotes": [ "github::rjdverse/rjd3x13", "github::rjdverse/rjd3filters" ], "URL": "https://github.com/AQLT/publishTC,\nhttps://aqlt.github.io/publishTC/", "SystemRequirements": "Java (>= 17)", "License": "EUPL", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE)", "Config/pak/sysreqs": "make default-jdk libprotobuf-dev protobuf-compiler\nlibprotoc-dev", "Repository": "https://aqlt.r-universe.dev", "Date/Publication": "2025-10-21 09:36:28 UTC", "RemoteUrl": "https://github.com/AQLT/publishTC", "RemoteRef": "HEAD", "RemoteSha": "1ffbaeadd479f7016238eb3ca79b9e2b1faf3cfc", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-02 05:40:03 UTC", "User": "root" }, "Author": "Alain Quartier-la-Tente [aut, cre] (ORCID:\n)", "Maintainer": "Alain Quartier-la-Tente ", "MD5sum": "d3b815c330b82e0fbaf9d78871536739", "_user": "aqlt", "_type": "src", "_file": 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time-series analysis", "uuid": 24825189 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "rjd3filters", "version": ">= 2.3.0", "role": "Imports" }, { "package": "rjd3x13", "version": ">= 3.3.0", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "zoo", "role": "Imports" }, { "package": "rJava", "role": "Imports" } ], "_owner": "aqlt", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-35", "n": 1 }, { "week": "2025-42", "n": 3 }, { "week": "2025-43", "n": 1 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "aqlt", "count": 85, "uuid": 24825189 } ], "_userbio": { "uuid": 24825189, "type": "user", "name": "Alain Quartier-la-Tente", "followers": 33, "description": "Statistician, #RStat user, mainly working on seasonal adjustment & time-series analysis" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/publishTC" }, "_devurl": 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"object": "cars_registrations", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "CLF", "title": "Classical Moving Average", "object": "CLF", "class": [ "finite_filters" ], "fields": [], "table": false, "tojson": false }, { "name": "CLF_CN", "title": "Classical Moving Average", "object": "CLF_CN", "class": [ "finite_filters" ], "fields": [], "table": false, "tojson": false }, { "name": "etip", "title": "Data set examples", "object": "etip", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "fred", "title": "Data set examples", "object": "fred", "class": [ "mts", "ts", "matrix", "array" ], "fields": [ "CE16OV", "RETAILx" ], "rows": 766, "table": true, "tojson": true }, { "name": "french_ipi", "title": "Data set examples", "object": "french_ipi", "class": [ "mts", "ts", "matrix", "array" ], "fields": [ "crude_petroleum", "motor_vehicles", "manufacturing" ], "rows": 416, "table": true, "tojson": true }, { "name": "henderson", "title": "Classical Moving Average", "object": "henderson", "class": [ "list" ], "fields": [], "table": false, "tojson": false }, { "name": "local_param_est", "title": "Classical Moving Average", "object": "local_param_est", "class": [ "list" ], "fields": [], "table": false, "tojson": false }, { "name": "simulated_data", "title": "Data set examples", "object": "simulated_data", "class": [ "mts", "ts", "matrix", "array" ], "fields": [ "ao_td0", "ls_td0", "ao_td1", "ls_td1", "ao_td2", "ls_td2" ], "rows": 84, "table": true, "tojson": true } ], "_help": [ { "page": "bandwidth", "title": "Get Bandwidth", "topics": [ "bandwidth" ] }, { "page": "classical-ma", "title": "Classical Moving Average", "topics": [ "classical-ma", "CLF", "CLF_CN", "henderson", "local_param_est" ] }, { "page": "clf_smoothing", "title": "Smoothing using the Cascade Linear Filter", "topics": [ "clf_smoothing" ] }, { "page": "confint_plot", "title": "Confidence Intervals plot", "topics": [ "confint_plot", "ggconfint_plot" ] }, { "page": "confint-tc", "title": "Confidence Intervals for '\"tc_estimates\"'", "topics": [ "confint-tc", "confint.clf", "confint.henderson", "confint.robust_henderson" ] }, { "page": "ggsmoothing_plot", "title": "Produce several plots", "topics": [ "ggsmoothing_plot" ] }, { "page": "growthplot", "title": "Growth plots", "topics": [ "gggrowthplot", "growthplot" ] }, { "page": "henderson_robust_smoothing", "title": "Smoothing using the Henderson filter", "topics": [ "henderson_robust_smoothing" ] }, { "page": "henderson_smoothing", "title": "Smoothing using the Henderson filter", "topics": [ "henderson_smoothing" ] }, { "page": "icr", "title": "Compute IC-Ratio", "topics": [ "icr", "icrs" ] }, { "page": "implicit_forecasts", "title": "Compute Implicit Forecasts", "topics": [ "implicit_forecasts" ] }, { "page": "implicit_forecasts_plot", "title": "Implicit Forecasts plot", "topics": [ "ggimplicit_forecasts_plot", "implicit_forecasts_plot" ] }, { "page": "lollypop", "title": "Lollypop plot", "topics": [ "gglollypop", "lollypop" ] }, { "page": "mcd", "title": "Month of Cyclical Dominance", "topics": [ "mcd" ] }, { "page": "plot.tc_estimates", "title": "Default '\"tc_estimates\"' plot", "topics": [ "autoplot.tc_estimates", "plot.tc_estimates" ] }, { "page": "segmented_smoothing", "title": "Segmented Smoothing around Breakpoints", "topics": [ "segmented_smoothing" ] }, { "page": "smoothing", "title": "Smoothing using several methods", "topics": [ "smoothing" ] }, { "page": "smoothness", "title": "Get Smoothness of Trend-Cycle estimates", "topics": [ "smoothness" ] }, { "page": "ts-exemple", "title": "Data set examples", "topics": [ "cars_registrations", "etip", "fred", "french_ipi", "simulated_data", "ts-exemple" ] }, { "page": "turning_points", "title": "Detect turning points in a time series", "topics": [ "downturn", "turning_points", "unwanted_ripples", "upturn" ] }, { "page": "write.ts", "title": "Export and Import time series object to/from CSV", "topics": [ 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