{
  "_id": "6ad9e69e0fb45ffff0ff1dad",
  "Package": "echos",
  "Type": "Package",
  "Title": "Echo State Networks for Time Series Modeling and Forecasting",
  "Version": "1.0.5",
  "Description": "Provides a lightweight implementation of functions and\nmethods for fast and fully automatic time series modeling and\nforecasting using Echo State Networks (ESNs).",
  "Authors@R": "person(given = \"Alexander\",\nfamily = \"Häußer\",\nemail = \"alexander-haeusser@gmx.de\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0000-5419-8479\"))",
  "License": "GPL-3",
  "URL": "https://github.com/ahaeusser/echos,\nhttps://ahaeusser.github.io/echos/",
  "BugReports": "https://github.com/ahaeusser/echos/issues",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/roxygen2/version": "8.1.1",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-22 10:28:11 UTC",
    "User": "root"
  },
  "Author": "Alexander Häußer [aut, cre, cph] (ORCID:\n<https://orcid.org/0009-0000-5419-8479>)",
  "Maintainer": "Alexander Häußer <alexander-haeusser@gmx.de>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-10-22 10:19:11 UTC",
  "RemoteUrl": "https://github.com/cran/echos",
  "RemoteRef": "HEAD",
  "RemoteSha": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
  "_user": "cran",
  "_type": "src",
  "_file": "echos_1.0.5.tar.gz",
  "_fileid": "https://r2.ropensci.org/a93c34c6037104dd7e50bd4dee40655de1360a21d8b2b644440ef9c1d4e5fff5",
  "_filesize": 3269378,
  "_sha256": "a93c34c6037104dd7e50bd4dee40655de1360a21d8b2b644440ef9c1d4e5fff5",
  "_expires": "2027-01-30T10:34:04.000Z",
  "_created": "2026-10-22T10:28:11.000Z",
  "_published": "2026-10-22T10:34:06.041Z",
  "_upstream": "https://github.com/cran/echos",
  "_status": "success",
  "_maintainer": {
    "name": "Alexander Häußer",
    "email": "alexander-haeusser@gmx.de",
    "login": "ahaeusser",
    "linkedin": "in/alexander-haeusser",
    "orcid": "0009-0000-5419-8479",
    "description": "Statistics | Econometrics | Machine Learning | Time Series Forecasting | Echo State Networks | Reservoir Computing",
    "uuid": 50058920
  },
  "_jobs": [
    {
      "job": 119772826002,
      "time": 173,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12418589740"
    },
    {
      "job": 119772826135,
      "time": 212,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12418584728"
    },
    {
      "job": 119772825987,
      "time": 157,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12418648901"
    },
    {
      "job": 119772825983,
      "time": 193,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12419351423"
    },
    {
      "job": 119771039263,
      "time": 256,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12418917786"
    },
    {
      "job": 119772826465,
      "time": 113,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12418787632"
    },
    {
      "job": 119772826205,
      "time": 272,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12419446251"
    },
    {
      "job": 119772826311,
      "time": 158,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12419760254"
    },
    {
      "job": 119772826010,
      "time": 303,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12418363648"
    },
    {
      "job": 119772826225,
      "time": 164,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12418348427"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257",
  "_commit": {
    "id": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
    "author": "Alexander Häußer <alexander-haeusser@gmx.de>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.5\n",
    "time": 1792664351
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0.0",
      "role": "Depends"
    },
    {
      "package": "fabletools",
      "version": ">= 0.3.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.3",
      "role": "Imports"
    },
    {
      "package": "tsibble",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "distributional",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "tidyverse",
      "role": "Suggests"
    },
    {
      "package": "fable",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-08",
      "n": 1
    },
    {
      "week": "2026-25",
      "n": 1
    },
    {
      "week": "2026-43",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "1.0.3",
      "date": "2026-02-22"
    },
    {
      "name": "1.0.4",
      "date": "2026-06-15"
    },
    {
      "name": "1.0.5",
      "date": "2026-10-22"
    }
  ],
  "_stars": 1,
  "_contributors": [
    {
      "user": "ahaeusser",
      "count": 5,
      "uuid": 50058920
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 634,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 512,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/echos"
  },
  "_devurl": "https://github.com/ahaeusser/echos",
  "_pkgdown": "https://ahaeusser.github.io/echos/",
  "_searchresults": 29,
  "_topics": [
    "openblas",
    "cpp",
    "openmp"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/echos.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/ahaeusser/echos",
  "_realowner": "ahaeusser",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.1",
      "date": "2025-02-11"
    },
    {
      "version": "1.0.2",
      "date": "2025-06-23"
    },
    {
      "version": "1.0.3",
      "date": "2026-02-22"
    },
    {
      "version": "1.0.4",
      "date": "2026-06-15"
    },
    {
      "version": "1.0.5",
      "date": "2026-10-22"
    }
  ],
  "_exports": [
    "ESN",
    "filter_esn",
    "forecast_esn",
    "is.esn",
    "is.forecast_esn",
    "is.tune_esn",
    "reservoir",
    "run_reservoir",
    "train_esn",
    "tune_esn"
  ],
  "_datasets": [
    {
      "name": "m4_data",
      "title": "Deprecated name for 'm4_monthly_subset'",
      "object": "m4_data",
      "class": [
        "tbl_ts",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "series",
        "category",
        "index",
        "value"
      ],
      "rows": 1152,
      "table": true,
      "tojson": true
    },
    {
      "name": "m4_monthly_subset",
      "title": "Monthly subset of the M4 competition data",
      "object": "m4_monthly_subset",
      "class": [
        "tbl_ts",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "series",
        "category",
        "index",
        "value"
      ],
      "rows": 1152,
      "table": true,
      "tojson": true
    },
    {
      "name": "synthetic_data",
      "title": "Synthetic time series data",
      "object": "synthetic_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "variable",
        "index",
        "value"
      ],
      "rows": 2000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ESN",
      "title": "Train an Echo State Network",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "ESN"
      ]
    },
    {
      "page": "filter_esn",
      "title": "Filter ESN models",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "filter_esn"
      ]
    },
    {
      "page": "fitted.ESN",
      "title": "Extract fitted values from a trained ESN",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "fitted.ESN"
      ]
    },
    {
      "page": "forecast_esn",
      "title": "Forecast an Echo State Network",
      "concept": [
        "base functions"
      ],
      "topics": [
        "forecast_esn"
      ]
    },
    {
      "page": "forecast.ESN",
      "title": "Forecast an Echo State Network",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "forecast.ESN"
      ]
    },
    {
      "page": "glance.ESN",
      "title": "Summary of trained models during random search",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "glance.ESN"
      ]
    },
    {
      "page": "is.esn",
      "title": "Checks if object is of class \"esn\"",
      "concept": [
        "base functions"
      ],
      "topics": [
        "is.esn"
      ]
    },
    {
      "page": "is.forecast_esn",
      "title": "Checks if object is of class \"forecast_esn\"",
      "concept": [
        "base functions"
      ],
      "topics": [
        "is.forecast_esn"
      ]
    },
    {
      "page": "is.tune_esn",
      "title": "Checks if object is of class \"tune_esn\"",
      "concept": [
        "base functions"
      ],
      "topics": [
        "is.tune_esn"
      ]
    },
    {
      "page": "m4_data",
      "title": "Deprecated name for 'm4_monthly_subset'",
      "topics": [
        "m4_data"
      ]
    },
    {
      "page": "m4_monthly_subset",
      "title": "Monthly subset of the M4 competition data",
      "topics": [
        "m4_monthly_subset"
      ]
    },
    {
      "page": "model_sum.ESN",
      "title": "Model specification of a trained ESN model",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "model_sum.ESN"
      ]
    },
    {
      "page": "plot.esn",
      "title": "Plot internal states of a trained ESN model",
      "concept": [
        "base functions"
      ],
      "topics": [
        "plot.esn"
      ]
    },
    {
      "page": "plot.forecast_esn",
      "title": "Plot forecasts of a trained ESN model",
      "concept": [
        "base functions"
      ],
      "topics": [
        "plot.forecast_esn"
      ]
    },
    {
      "page": "plot.tune_esn",
      "title": "Plot forecasts from a tuned ESN object",
      "concept": [
        "base functions"
      ],
      "topics": [
        "plot.tune_esn"
      ]
    },
    {
      "page": "print.esn",
      "title": "Print model specification of the trained ESN model",
      "concept": [
        "base functions"
      ],
      "topics": [
        "print.esn"
      ]
    },
    {
      "page": "report.ESN",
      "title": "Provide a detailed summary of the trained ESN model",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "report.ESN"
      ]
    },
    {
      "page": "reservoir",
      "title": "Return the reservoir from a trained ESN as tibble",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "reservoir"
      ]
    },
    {
      "page": "residuals.ESN",
      "title": "Extract residuals from a trained ESN",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "residuals.ESN"
      ]
    },
    {
      "page": "run_reservoir",
      "title": "Run reservoir",
      "topics": [
        "run_reservoir"
      ]
    },
    {
      "page": "summary.esn",
      "title": "Provide a detailed summary of the trained ESN model",
      "concept": [
        "base functions"
      ],
      "topics": [
        "summary.esn"
      ]
    },
    {
      "page": "summary.tune_esn",
      "title": "Provide a summary of the hyperparameter tuning",
      "concept": [
        "base functions"
      ],
      "topics": [
        "summary.tune_esn"
      ]
    },
    {
      "page": "synthetic_data",
      "title": "Synthetic time series data",
      "topics": [
        "synthetic_data"
      ]
    },
    {
      "page": "tidy.ESN",
      "title": "Estimated coefficients",
      "concept": [
        "tidy functions"
      ],
      "topics": [
        "tidy.ESN"
      ]
    },
    {
      "page": "train_esn",
      "title": "Train an Echo State Network",
      "concept": [
        "base functions"
      ],
      "topics": [
        "train_esn"
      ]
    },
    {
      "page": "tune_esn",
      "title": "Tune hyperparameters of an Echo State Network",
      "concept": [
        "base functions"
      ],
      "topics": [
        "tune_esn"
      ]
    }
  ],
  "_pkglogo": "https://github.com/cran/echos/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/cran/echos/raw/HEAD/README.md",
  "_rundeps": [
    "anytime",
    "BH",
    "cli",
    "cpp11",
    "distributional",
    "dplyr",
    "fabletools",
    "farver",
    "generics",
    "ggdist",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lifecycle",
    "lubridate",
    "magrittr",
    "numDeriv",
    "pillar",
    "pkgconfig",
    "progressr",
    "purrr",
    "quadprog",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "tsibble",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    },
    {
      "shlib": "libgomp",
      "package": "libgomp1",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "openmp",
      "homepage": "http://gcc.gnu.org/",
      "description": "GCC OpenMP (GOMP) support library"
    }
  ],
  "_vignettes": [
    {
      "source": "vignette_100_base_airpassengers.Rmd",
      "filename": "vignette_100_base_airpassengers.html",
      "title": "Base functions",
      "author": "Alexander Häußer",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Load package",
        "Prepare dataset",
        "ESN architecture and automatic model selection",
        "Train ESN model",
        "Forecast ESN model",
        "Hyperparameter tuning"
      ],
      "created": "2026-10-22 10:19:11",
      "modified": "2026-10-22 10:19:11",
      "commits": 1
    },
    {
      "source": "vignette_300_datasets.Rmd",
      "filename": "vignette_300_datasets.html",
      "title": "Datasets",
      "author": "Alexander Häußer",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Load packages",
        "M4 data",
        "Synthetic data"
      ],
      "created": "2026-10-22 10:19:11",
      "modified": "2026-10-22 10:19:11",
      "commits": 1
    },
    {
      "source": "vignette_201_tidy_m4_monthly_models.Rmd",
      "filename": "vignette_201_tidy_m4_monthly_models.html",
      "title": "Multiple models",
      "author": "Alexander Häußer",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Load package",
        "Prepare dataset",
        "Train ESN model",
        "Forecast ESN model"
      ],
      "created": "2026-10-22 10:19:11",
      "modified": "2026-10-22 10:19:11",
      "commits": 1
    },
    {
      "source": "vignette_202_tidy_m4_monthly_splits.Rmd",
      "filename": "vignette_202_tidy_m4_monthly_splits.html",
      "title": "Rolling forecasts",
      "author": "Alexander Häußer",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Load packages",
        "Prepare the data",
        "Define the rolling forecast setup",
        "Create rolling training windows",
        "Train the ESN models",
        "Generate rolling forecasts",
        "Evaluate forecast accuracy",
        "Visualize the rolling forecasts",
        "Summary"
      ],
      "created": "2026-10-22 10:19:11",
      "modified": "2026-10-22 10:19:11",
      "commits": 1
    }
  ],
  "_score": 4.2405492482826,
  "_indexed": false,
  "_nocasepkg": "echos",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://ahaeusser.r-universe.dev/echos",
  "_previous": "1.0.4",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.5",
      "date": "2026-10-22T10:30:34.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/35bceca680597fd48a7141f018083fb3865f11856c138d1b1220fd6f76d63244",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.5",
      "date": "2026-10-22T10:30:55.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/13983b5a1480ce3a6540f9390fec8bdf8565ebf3b180786b70d34829cfc02147",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.5",
      "date": "2026-10-22T10:30:24.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/86ec0a621a9f22510987a5fa0951cad275d7c720409c64c2df30bc96f11a89f8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.0.5",
      "date": "2026-10-22T10:30:47.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/f8f4ba4d47fbd1b4c6878cc6d1b071236256a88f20876ad45fd652271b10da97",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.5",
      "date": "2026-10-22T10:30:29.000Z",
      "arch": "emscripten",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/4b5364b76424b83fd5e34a1ca72a7f9cea3afb3f7f1573b4de94ab3c8fd9d077",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.5",
      "date": "2026-10-22T10:31:40.000Z",
      "arch": "aarch64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/160ef1b13d491b05b6a89fe266ee1a0c7db09d65a7b724827f1f541b40019358",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.5",
      "date": "2026-10-22T10:29:37.000Z",
      "arch": "x86_64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/1a4fb0f4bb81d3de4b7274bf3b984deb3a8f774771e257192a41341ddce866c3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.5",
      "date": "2026-10-22T10:32:14.000Z",
      "arch": "aarch64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/5f200acc8f1a37dc16dbe426222048ab171f3334f8ae1ece2f44c86fe432f40a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.0.5",
      "date": "2026-10-22T10:29:49.000Z",
      "arch": "x86_64",
      "commit": "df805e13c6eeff52b43c2e1e8e23a5c06e521573",
      "fileid": "https://r2.ropensci.org/c21d99101ef6c1a66cba80b9e706cbee8b5a6ef7619b4ce123dc8d8516b3e288",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/39762792257"
    }
  ]
}