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  "Package": "dynamac",
  "Title": "Dynamic Simulation and Testing for Single-Equation ARDL Models",
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  "Authors@R": "c(person(\"Soren\", \"Jordan\", email = \"sorenjordanpols@gmail.com\", role = c(\"aut\", \"cre\",\"cph\")), person(\"Andrew Q.\", \"Philips\", email = \"andrew.philips@colorado.edu\", role = c(\"aut\")))",
  "Maintainer": "Soren Jordan <sorenjordanpols@gmail.com>",
  "Description": "While autoregressive distributed lag (ARDL) models allow\nfor extremely flexible dynamics, interpreting substantive\nsignificance of complex lag structures remains difficult. This\npackage is designed to assist users in dynamically simulating\nand plotting the results of various ARDL models. It also\ncontains post-estimation diagnostics, including a test for\ncointegration when estimating the error-correction variant of\nthe autoregressive distributed lag model (Pesaran, Shin, and\nSmith 2001 <doi:10.1002/jae.616>).",
  "URL": "https://github.com/andyphilips/dynamac/",
  "BugReports": "https://github.com/andyphilips/dynamac/issues",
  "License": "GPL (>=2)",
  "Encoding": "UTF-8",
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  "BuildManual": "yes",
  "RoxygenNote": "6.1.1",
  "VignetteBuilder": "knitr",
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  "Packaged": {
    "Date": "2026-05-08 07:45:17 UTC",
    "User": "root"
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  "Author": "Soren Jordan [aut, cre, cph], Andrew Q. Philips [aut]",
  "Repository": "https://andyphilips.r-universe.dev",
  "Date/Publication": "2020-10-09 19:16:19 UTC",
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    "author": "Andrew Q. Philips <andrew.philips@colorado.edu>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #8 from kthyng/patch-1\n\nUpdate jordan-philips.bib",
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  "_selfowned": true,
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  "_updates": [],
  "_tags": [],
  "_topics": [
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    "stata",
    "time-series",
    "time-series-analysis"
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  "_contributors": [
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    "type": "user",
    "name": "Andrew Q. Philips",
    "description": "Henry W. Ehrmann Professor in Law and Jurisprudence,\r\nDepartment of Political Science,\r\nUniversity of Colorado Boulder"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/andyphilips/dynamac",
  "_realowner": "andyphilips",
  "_cranurl": true,
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      "date": "2018-05-09"
    },
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      "date": "2018-12-08"
    },
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      "date": "2019-03-04"
    },
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    },
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      "date": "2020-04-03"
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    "dynardl.all.plots",
    "dynardl.auto.correlated",
    "dynardl.simulation.plot",
    "ldshift",
    "lshift",
    "pssbounds",
    "spike.simulation.plot"
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      "title": "Data on French Energy Consumption and GDP",
      "object": "france.data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "country",
        "year",
        "lnGDP_cons2010USD",
        "lnenergy"
      ],
      "rows": 53,
      "table": true,
      "tojson": true
    },
    {
      "name": "ineq",
      "title": "Data on public concern about economic inequality",
      "object": "ineq",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "mood",
        "urate",
        "concern",
        "demcontrol",
        "incshare10",
        "csentiment",
        "incshare01"
      ],
      "rows": 49,
      "table": true,
      "tojson": true
    },
    {
      "name": "supreme.sup",
      "title": "Data on US Supreme Court Approval",
      "object": "supreme.sup",
      "class": [
        "data.frame"
      ],
      "fields": [
        "dcalc",
        "l_dcalc",
        "iddiv",
        "mooddev",
        "dirdev",
        "sg",
        "laws",
        "presapp",
        "congapp"
      ],
      "rows": 42,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "dshift",
      "title": "Take first difference of a series",
      "topics": [
        "dshift"
      ]
    },
    {
      "page": "dynardl",
      "title": "Estimate and simulate ARDL model",
      "topics": [
        "dynardl"
      ]
    },
    {
      "page": "dynardl.all.plots",
      "title": "Combine all of the potential plots of a simulated response in a 'dynardl' model",
      "topics": [
        "dynardl.all.plots"
      ]
    },
    {
      "page": "dynardl.auto.correlated",
      "title": "Run a variety of autocorrelation tests on the residuals from a 'dynardl' model",
      "topics": [
        "dynardl.auto.correlated"
      ]
    },
    {
      "page": "dynardl.simulation.plot",
      "title": "Create a plot of a simulated response in a 'dynardl' model",
      "topics": [
        "dynardl.simulation.plot"
      ]
    },
    {
      "page": "france.data",
      "title": "Data on French Energy Consumption and GDP",
      "topics": [
        "france.data"
      ]
    },
    {
      "page": "ineq",
      "title": "Data on public concern about economic inequality",
      "topics": [
        "ineq"
      ]
    },
    {
      "page": "ldshift",
      "title": "Take the lagged first difference of a series",
      "topics": [
        "ldshift"
      ]
    },
    {
      "page": "lshift",
      "title": "Take lag transformation of a series",
      "topics": [
        "lshift"
      ]
    },
    {
      "page": "pssbounds",
      "title": "Perform Pesaran, Shin, and Smith (2001) cointegration test",
      "topics": [
        "pssbounds"
      ]
    },
    {
      "page": "summary.dynardl",
      "title": "Enable summary calls to 'dynardl' model objects",
      "topics": [
        "summary.dynardl"
      ]
    },
    {
      "page": "supreme.sup",
      "title": "Data on US Supreme Court Approval",
      "topics": [
        "supreme.sup"
      ]
    }
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  "_readme": "https://github.com/andyphilips/dynamac/raw/HEAD/README.md",
  "_rundeps": [
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    "lmtest",
    "MASS",
    "zoo"
  ],
  "_vignettes": [
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      "source": "dynamac-vignette.Rmd",
      "filename": "dynamac-vignette.html",
      "title": "An Introduction to dynamac: Dynamic Inferences (and Cointegration Testing) from Autoregressive Distributed Lag Models",
      "author": "Soren Jordan and Andrew Q. Philips",
      "engine": "knitr::rmarkdown",
      "headings": [
        "ARDL models generally",
        "Estimating an ARDL model: best practices and dynamac",
        "Understanding our time series",
        "Estimating ARDL models with dynardl",
        "Cointegration testing using the ARDL-bounds procedure and pssbounds",
        "Counterfactual simulation using dynardl",
        "Being smart(er than dynardl) about data and modeling",
        "Bibliography"
      ],
      "created": "2018-05-07 22:09:13",
      "modified": "2020-04-02 20:53:14",
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