{
  "_id": "6aca8d30fe5cc25786e8b542",
  "Package": "rjd3filters",
  "Type": "Package",
  "Title": "Trend-Cycle Extraction with Linear Filters with 'JDemetra+ 3.x'",
  "Version": "2.4.0.9000",
  "Authors@R": "c(\nperson(\"Alain\", \"Quartier-la-Tente\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"alain.quartier@yahoo.fr\",\ncomment = c(ORCID = \"0000-0001-7890-3857\")),\nperson(\"Jean\", \"Palate\", role = c(\"aut\"),\nemail = \"palatejean@gmail.com\"),\nperson(\"Tanguy\", \"Barthelemy\", role = c(\"ctb\"),\nemail =\"tanguy.barthelemy@insee.fr\"),\nperson(\"Anna\", \"Smyk\", role = c(\"ctb\"),\nemail =\"anna.smyk@insee.fr\")\n)",
  "Description": "Build and apply symmetric and asymmetric moving averages\n(= linear filters) for trend-cycle extraction. In particular,\nit implements several modern approaches for real-time estimates\nfrom the viewpoint of revisions and time delay in detecting\nturning points. It includes the local polynomial approach of\nProietti and Luati (2008), the Reproducing Kernel Hilbert Space\n(RKHS) of Dagum and Bianconcini (2008) and the\nFidelity-Smoothness-Timeliness approach of Grun-Rehomme,\nGuggemos, and Ladiray (2018). It is based on 'Java' libraries\ndeveloped in 'JDemetra+' (<https://github.com/jdemetra>), time\nseries analysis software.",
  "SystemRequirements": "Java (>= 21)",
  "License": "EUPL",
  "LazyData": "TRUE",
  "URL": "https://github.com/rjdverse/rjd3filters,\nhttps://rjdverse.github.io/rjd3filters/",
  "BugReports": "https://github.com/rjdverse/rjd3filters/issues",
  "Roxygen": "list(markdown = TRUE)",
  "Encoding": "UTF-8",
  "Config/roxygen2/version": "8.1.0",
  "Language": "en-GB",
  "Remotes": [
    "github::rjdverse/rjd3jars",
    "github::rjdverse/rjd3toolkit"
  ],
  "Config/pak/sysreqs": "make default-jdk libprotobuf-dev protobuf-compiler\nlibprotoc-dev",
  "Repository": "https://aqlt.r-universe.dev",
  "Date/Publication": "2026-10-10 14:58:22 UTC",
  "RemoteUrl": "https://github.com/rjdverse/rjd3filters",
  "RemoteRef": "HEAD",
  "RemoteSha": "525079e44d8f5f564808ad8792623b23cce8c734",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-10 18:48:05 UTC",
    "User": "root"
  },
  "Author": "Alain Quartier-la-Tente [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0001-7890-3857>),\nJean Palate [aut],\nTanguy Barthelemy [ctb],\nAnna Smyk [ctb]",
  "Maintainer": "Alain Quartier-la-Tente <alain.quartier@yahoo.fr>",
  "_user": "aqlt",
  "_type": "src",
  "_file": "rjd3filters_2.4.0.9000.tar.gz",
  "_fileid": "https://r2.ropensci.org/88f8e203e26439d4a9be946e214622608ece7106fe7cc133c964d77b70974333",
  "_filesize": 1074242,
  "_sha256": "88f8e203e26439d4a9be946e214622608ece7106fe7cc133c964d77b70974333",
  "_expires": "2027-01-18T19:08:30.000Z",
  "_created": "2026-10-10T18:48:05.000Z",
  "_published": "2026-10-10T19:08:32.449Z",
  "_buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 114286753609,
      "time": 137,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11679197619"
    },
    {
      "job": 114286753700,
      "time": 137,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11679297387"
    },
    {
      "job": 114286753621,
      "time": 103,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11678809968"
    },
    {
      "job": 114286753657,
      "time": 101,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11679638881"
    },
    {
      "job": 114286067173,
      "time": 202,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11679516867"
    },
    {
      "job": 114286753787,
      "time": 113,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11679397234"
    },
    {
      "job": 114286753696,
      "time": 102,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11679211495"
    },
    {
      "job": 114286753707,
      "time": 94,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11679172526"
    },
    {
      "job": 114286753669,
      "time": 76,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11679061528"
    }
  ],
  "_upstream": "https://github.com/rjdverse/rjd3filters",
  "_commit": {
    "id": "525079e44d8f5f564808ad8792623b23cce8c734",
    "author": "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>",
    "committer": "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>",
    "message": "🔖 Auto-bump develop version\n\nCo-authored-by: AQLT <AQLT@users.noreply.github.com>\n",
    "time": 1791644302
  },
  "_maintainer": {
    "name": "Alain Quartier-la-Tente",
    "email": "alain.quartier@yahoo.fr",
    "login": "aqlt",
    "orcid": "0000-0001-7890-3857",
    "description": "Statistician, #RStat user, mainly working on seasonal adjustment & time-series analysis",
    "uuid": 24825189
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "rJava",
      "version": ">= 1.0-6",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "rjd3jars",
      "version": ">= 0.0.5",
      "role": "Imports"
    },
    {
      "package": "rjd3toolkit",
      "version": ">= 3.7.1",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "spelling",
      "role": "Suggests"
    }
  ],
  "_owner": "rjdverse",
  "_selfowned": true,
  "_usedby": 3,
  "_updates": [
    {
      "week": "2025-43",
      "n": 2
    },
    {
      "week": "2025-51",
      "n": 1
    },
    {
      "week": "2026-11",
      "n": 1
    },
    {
      "week": "2026-13",
      "n": 2
    },
    {
      "week": "2026-25",
      "n": 2
    },
    {
      "week": "2026-34",
      "n": 1
    },
    {
      "week": "2026-36",
      "n": 1
    },
    {
      "week": "2026-41",
      "n": 6
    }
  ],
  "_tags": [
    {
      "name": "v2.4.0",
      "date": "2026-10-10"
    }
  ],
  "_topics": [
    "filtering",
    "java",
    "jdemetra",
    "time-series",
    "timeseries",
    "trend-cycle",
    "openjdk"
  ],
  "_stars": 3,
  "_contributors": [
    {
      "user": "aqlt",
      "count": 141,
      "uuid": 24825189
    },
    {
      "user": "tanguybarthelemy",
      "count": 114,
      "uuid": 112711017
    },
    {
      "user": "palatej",
      "count": 32,
      "uuid": 8858782
    },
    {
      "user": "annasmyk",
      "count": 7,
      "uuid": 43274870
    },
    {
      "user": "clemasso",
      "count": 2,
      "uuid": 95612140
    },
    {
      "user": "charphi",
      "count": 2,
      "uuid": 8778378
    }
  ],
  "_userbio": {
    "uuid": 24825189,
    "type": "user",
    "name": "Alain Quartier-la-Tente",
    "followers": 35,
    "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/rjd3filters"
  },
  "_devurl": "https://github.com/rjdverse/rjd3filters",
  "_pkgdown": "https://rjdverse.github.io/rjd3filters/",
  "_searchresults": 92,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/rjd3filters.html"
  ],
  "_cranurl": false,
  "_releases": [
    {
      "version": "2.4.0",
      "date": "2026-10-10"
    }
  ],
  "_exports": [
    ".jd2r_finitefilters",
    "confint_filter",
    "cp",
    "cv",
    "cve",
    "df_var",
    "dfa_filter",
    "diagnostic_matrix",
    "filter",
    "finite_filters",
    "fst",
    "fst_filter",
    "get_kernel",
    "get_moving_average",
    "get_properties_function",
    "implicit_forecasts",
    "impute_last_obs",
    "is_symmetric",
    "is.finite_filters",
    "is.moving_average",
    "localpolynomials",
    "loocve",
    "lower_bound",
    "lp_filter",
    "mirror",
    "mmsre_filter",
    "moving_average",
    "mse",
    "plot_coef",
    "plot_gain",
    "plot_phase",
    "polynomial_matrix",
    "print",
    "rkhs_filter",
    "rkhs_kernel",
    "rkhs_optimal_bw",
    "rkhs_optimization_fun",
    "rt",
    "show",
    "simple_ma",
    "to_seasonal",
    "underlying_forecasts",
    "upper_bound",
    "var_estimator"
  ],
  "_datasets": [
    {
      "name": "retailsa",
      "title": "Seasonally Adjusted Retail Sales",
      "object": "retailsa",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "dot-jd2r_finitefilters",
      "title": "Java Utility Function",
      "topics": [
        ".jd2r_finitefilters"
      ]
    },
    {
      "page": "confint_filter",
      "title": "Confidence intervals",
      "topics": [
        "confint_filter"
      ]
    },
    {
      "page": "df_var",
      "title": "Compute the degrees of freedom for the variance estimator",
      "topics": [
        "df_var"
      ]
    },
    {
      "page": "dfa_filter",
      "title": "Direct Filter Approach",
      "topics": [
        "dfa_filter"
      ]
    },
    {
      "page": "diagnostic_matrix",
      "title": "Compute quality criteria for asymmetric filters",
      "topics": [
        "diagnostic_matrix"
      ]
    },
    {
      "page": "diagnostics-fit",
      "title": "Diagnostics and goodness of fit of filtered series",
      "topics": [
        "cp",
        "cv",
        "cve",
        "diagnostics-fit",
        "loocve",
        "rt"
      ]
    },
    {
      "page": "filter",
      "title": "Linear Filtering on a Time Series",
      "topics": [
        "filter"
      ]
    },
    {
      "page": "filters_operations",
      "title": "Operations on Filters",
      "topics": [
        "*,ANY,finite_filters-method",
        "*,ANY,moving_average-method",
        "*,finite_filters,ANY-method",
        "*,finite_filters,finite_filters-method",
        "*,finite_filters,moving_average-method",
        "*,finite_filters,numeric-method",
        "*,moving_average,ANY-method",
        "*,moving_average,finite_filters-method",
        "*,moving_average,moving_average-method",
        "*,moving_average,numeric-method",
        "*,numeric,moving_average-method",
        "+,finite_filters,finite_filters-method",
        "+,finite_filters,missing-method",
        "+,finite_filters,moving_average-method",
        "+,moving_average,finite_filters-method",
        "+,moving_average,missing-method",
        "+,moving_average,moving_average-method",
        "+,moving_average,numeric-method",
        "+,numeric,finite_filters-method",
        "+,numeric,moving_average-method",
        "-,finite_filters,finite_filters-method",
        "-,finite_filters,missing-method",
        "-,finite_filters,moving_average-method",
        "-,finite_filters,numeric-method",
        "-,moving_average,finite_filters-method",
        "-,moving_average,missing-method",
        "-,moving_average,moving_average-method",
        "-,moving_average,numeric-method",
        "-,numeric,finite_filters-method",
        "-,numeric,moving_average-method",
        "/,finite_filters,numeric-method",
        "/,moving_average,numeric-method",
        "cbind.moving_average",
        "filters_operations",
        "rbind.moving_average",
        "sum.moving_average",
        "[,finite_filters,ANY-method",
        "[,finite_filters,missing-method",
        "[,moving_average,logical-method",
        "[,moving_average,numeric-method",
        "[<-,moving_average,ANY,missing,numeric-method",
        "^,finite_filters,numeric-method",
        "^,moving_average,numeric-method"
      ]
    },
    {
      "page": "finite_filters",
      "title": "Manipulating Finite Filters",
      "topics": [
        "finite_filters",
        "is.finite_filters",
        "to_seasonal.finite_filters"
      ]
    },
    {
      "page": "fst",
      "title": "FST criteria",
      "topics": [
        "fst"
      ]
    },
    {
      "page": "fst_filter",
      "title": "Estimation of a filter using the Fidelity-Smoothness-Timeliness criteria",
      "topics": [
        "fst_filter"
      ]
    },
    {
      "page": "get_kernel",
      "title": "Get the coefficients of a kernel",
      "topics": [
        "get_kernel"
      ]
    },
    {
      "page": "get_moving_average",
      "title": "Get Moving Averages from ARIMA model",
      "topics": [
        "get_moving_average"
      ]
    },
    {
      "page": "get_properties_function",
      "title": "Get properties of filters",
      "topics": [
        "get_properties_function"
      ]
    },
    {
      "page": "implicit_forecasts",
      "title": "Retrieve implicit forecasts corresponding to the asymmetric filters",
      "topics": [
        "implicit_forecasts"
      ]
    },
    {
      "page": "impute_last_obs",
      "title": "Impute Incomplete Finite Filters",
      "topics": [
        "impute_last_obs"
      ]
    },
    {
      "page": "localpolynomials",
      "title": "Apply Local Polynomials Filters",
      "topics": [
        "localpolynomials"
      ]
    },
    {
      "page": "lp_filter",
      "title": "Local Polynomials Filters",
      "topics": [
        "lp_filter"
      ]
    },
    {
      "page": "mmsre_filter",
      "title": "Mean Square Revision Error (mmsre) filter",
      "topics": [
        "mmsre_filter"
      ]
    },
    {
      "page": "moving_average",
      "title": "Manipulation of moving averages",
      "topics": [
        "coef.moving_average",
        "is.moving_average",
        "is_symmetric",
        "length.moving_average",
        "lower_bound",
        "mirror",
        "moving_average",
        "rev.moving_average",
        "show,moving_average-method",
        "to_seasonal",
        "upper_bound"
      ]
    },
    {
      "page": "mse",
      "title": "Accuracy/smoothness/timeliness criteria through spectral decomposition",
      "topics": [
        "mse",
        "mse.finite_filters"
      ]
    },
    {
      "page": "plot_filters",
      "title": "Plots filters properties",
      "topics": [
        "plot_coef",
        "plot_coef.default",
        "plot_coef.finite_filters",
        "plot_coef.moving_average",
        "plot_filters",
        "plot_gain",
        "plot_gain.finite_filters",
        "plot_gain.moving_average",
        "plot_phase",
        "plot_phase.finite_filters",
        "plot_phase.moving_average"
      ]
    },
    {
      "page": "polynomial_matrix",
      "title": "Create polynomial matrix",
      "topics": [
        "polynomial_matrix"
      ]
    },
    {
      "page": "print.finite_filters",
      "title": "Print method for Finite Filters Objects",
      "topics": [
        "as.matrix.finite_filters",
        "print,finite_filters-method",
        "show,finite_filters-method"
      ]
    },
    {
      "page": "retailsa",
      "title": "Seasonally Adjusted Retail Sales",
      "topics": [
        "retailsa"
      ]
    },
    {
      "page": "rkhs_filter",
      "title": "Reproducing Kernel Hilbert Space (RKHS) Filters",
      "topics": [
        "rkhs_filter"
      ]
    },
    {
      "page": "rkhs_kernel",
      "title": "Get RKHS kernel function",
      "topics": [
        "rkhs_kernel"
      ]
    },
    {
      "page": "rkhs_optimal_bw",
      "title": "Optimal Bandwidth of Reproducing Kernel Hilbert Space (RKHS) Filters",
      "topics": [
        "rkhs_optimal_bw"
      ]
    },
    {
      "page": "rkhs_optimization_fun",
      "title": "Optimization Function of Reproducing Kernel Hilbert Space (RKHS) Filters",
      "topics": [
        "rkhs_optimization_fun"
      ]
    },
    {
      "page": "simple_ma",
      "title": "Simple Moving Average",
      "topics": [
        "simple_ma"
      ]
    },
    {
      "page": "underlying_forecasts",
      "title": "Retrieve underlying forecasts corresponding to the asymmetric filters",
      "topics": [
        "underlying_forecasts"
      ]
    },
    {
      "page": "var_estimator",
      "title": "Variance Estimator",
      "topics": [
        "var_estimator"
      ]
    }
  ],
  "_pkglogo": "https://github.com/rjdverse/rjd3filters/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/rjdverse/rjd3filters/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "checkmate",
    "MASS",
    "Rcpp",
    "rJava",
    "rjd3jars",
    "rjd3toolkit",
    "RProtoBuf"
  ],
  "_sysdeps": [
    {
      "shlib": "libjvm",
      "package": "openjdk-25-jre-headless",
      "headers": "openjdk-25-jre-headless",
      "source": "openjdk",
      "version": "25.0.4.1+1-1~26.04.4",
      "name": "openjdk",
      "homepage": "https://openjdk.java.net/",
      "description": "OpenJDK Java runtime, using Hotspot JIT (headless)"
    }
  ],
  "_score": 5.696181587168524,
  "_indexed": false,
  "_nocasepkg": "rjd3filters",
  "_universes": [
    "aqlt"
  ],
  "_indexurl": "https://rjdverse.r-universe.dev/rjd3filters",
  "_previous": "2.4.0",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.4.0.9000",
      "date": "2026-10-10T18:50:16.000Z",
      "distro": "resolute",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/59138ca2ca6786632ad0bba70763701c5f7510457ca1af67bcc218b58426f8db",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "2.4.0.9000",
      "date": "2026-10-10T18:50:14.000Z",
      "distro": "resolute",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/13cd2a4c7e761a7d538d194805655ae66378b8d9a502b9d490795f875b34cdb2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.4.0.9000",
      "date": "2026-10-10T19:07:56.000Z",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/b90317e6718f89cf0478dc26e6471af610a895aebbf4ebf92735f8805e1d7338",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "2.4.0.9000",
      "date": "2026-10-10T19:07:45.000Z",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/0b20159ad8ab6aa05c3f12339b1cf63d01a841c0a45564b9dbef50d731e7c4ce",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.4.0.9000",
      "date": "2026-10-10T18:50:19.000Z",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/ec8558aa7ffb71dbbea8e077504fe453db36bceaa793aab77ab8acdc341fac32",
      "status": "success",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.4.0.9000",
      "date": "2026-10-10T18:49:26.000Z",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/96f431c9c3bbc0ad8a62f6d71b3725b1a99f7aa7b6776966207fe7d068ded97f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.4.0.9000",
      "date": "2026-10-10T18:49:29.000Z",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/adf9282efd18a00b966b445cf73b23f564593d0c6ea26357e497ca47ffc9a5fe",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "2.4.0.9000",
      "date": "2026-10-10T18:49:18.000Z",
      "commit": "525079e44d8f5f564808ad8792623b23cce8c734",
      "fileid": "https://r2.ropensci.org/79408e124f5cef490e26040675900735c7388bf32967f2e5f6db123236422c35",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/aqlt/actions/runs/38077013162"
    }
  ]
}