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  "Package": "tseffects",
  "Title": "Dynamic Inferences from Time Series (with Interactions)",
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  "Authors@R": "c(person(\"Soren\", \"Jordan\", comment = c(ORCID = \"0000-0003-4201-1085\"), email = \"sorenjordanpols@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")), person(\"Garrett N. Vande Kamp\", email = \"garrettvandekamp@uga.edu\", role = c(\"aut\")), person(\"Reshi Rajan\", email = \"rrajan@tamu.edu\", role = c(\"aut\")))",
  "Maintainer": "Soren Jordan <sorenjordanpols@gmail.com>",
  "Description": "Autoregressive distributed lag (A[R]DL) models (and their\nreparameterized equivalent, the Generalized Error-Correction\nModel [GECM]) are the workhorse models in uncovering dynamic\ninferences. ADL models are simple to estimate; this is what\nmakes them attractive. Once these models are estimated, what is\nless clear is how to uncover a rich set of dynamic inferences\nfrom these models. We provide tools for recovering those\ninferences. These tools apply to traditional time-series\nquantities of interest: especially instantaneous effects for\nany period and cumulative effects for any period (including the\nlong-run effect). They also allow for a variety of shock\nhistories to be applied to the independent variable (beyond\njust a one-time, one-unit increase) as well as the recovery of\ninferences in levels for shocks applies to (in)dependent\nvariables in differences (what we call the Generalized Dynamic\nResponse Function). These effects are also available for the\ngeneral conditional dynamic model advocated by Warner, Vande\nKamp, and Jordan (2026 <doi:10.1017/psrm.2026.10087>). We also\nprovide the actual formulae for these effects.",
  "URL": "https://sorenjordan.github.io/tseffects/,\nhttps://github.com/sorenjordan/tseffects",
  "BugReports": "https://github.com/sorenjordan/tseffects/issues",
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  "Repository": "https://sorenjordan.r-universe.dev",
  "Date/Publication": "2026-02-05 17:01:04 UTC",
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    "User": "root"
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    "interact.adl.plot",
    "pulse.calculator"
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      "title": "Data on US Presidential Approval",
      "object": "approval",
      "class": [
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      "fields": [
        "APPROVE",
        "APPROVE_ECONOMY",
        "APPROVE_FOREIGN",
        "MIP_MACROECONOMICS",
        "MIP_FOREIGN",
        "PARTY_IN",
        "PARTY_OUT",
        "PRESIDENT",
        "DIVIDEDGOV",
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        "HONEYMOON",
        "UMCSENT",
        "UNRATE",
        "APPROVE_L1"
      ],
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        "l_5_x",
        "z",
        "l_1_z",
        "l_2_z",
        "l_3_z",
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        "y",
        "l_1_y",
        "l_2_y",
        "l_3_y",
        "l_4_y",
        "l_5_y",
        "x_z",
        "x_l_1_z",
        "z_l_1_x",
        "l_1_x_l_1_z",
        "d_x",
        "l_1_d_x",
        "d_y",
        "l_1_d_y",
        "l_2_d_x",
        "l_2_d_y",
        "d_2_y",
        "l_1_d_2_y",
        "l_3_d_x"
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      "tojson": true
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    {
      "page": "approval",
      "title": "Data on US Presidential Approval",
      "topics": [
        "approval"
      ]
    },
    {
      "page": "GDRF.adl.plot",
      "title": "Evaluate (and possibly plot) the General Dynamic Response Function (GDRF) for an autoregressive distributed lag (ADL) model",
      "topics": [
        "GDRF.adl.plot"
      ]
    },
    {
      "page": "GDRF.gecm.plot",
      "title": "Evaluate (and possibly plot) the General Dynamic Treatment Effect (GDRF) for a Generalized Error Correction Model (GECM)",
      "topics": [
        "GDRF.gecm.plot"
      ]
    },
    {
      "page": "GDTE.adl.plot",
      "title": "Evaluate (and possibly plot) the General Dynamic Treatment Effect (GDTE) for an autoregressive distributed lag (ADL) model",
      "topics": [
        "GDTE.adl.plot"
      ]
    },
    {
      "page": "GDTE.gecm.plot",
      "title": "Evaluate (and possibly plot) the General Dynamic Treatment Effect (GDTE) for a Generalized Error Correction Model (GECM)",
      "topics": [
        "GDTE.gecm.plot"
      ]
    },
    {
      "page": "gecm.to.adl",
      "title": "Translate the coefficients from the General Error Correction Model (GECM) to the autoregressive distributed lag (ADL) model",
      "topics": [
        "gecm.to.adl"
      ]
    },
    {
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      "title": "Generate the generalized effect formulae for an autoregressive distributed lag (ADL) model, given pulse effects and shock/treatment history",
      "topics": [
        "general.calculator"
      ]
    },
    {
      "page": "interact.adl.plot",
      "title": "Plot the interaction in a single-equation time series model estimated via 'lm'. It is imperative that you double-check you have referenced all x, y, z, and interaction terms through 'x.vrbl', 'y.vrbl', 'z.vrbl', and 'x.z.vrbl'. You must also have their orders correctly entered. 'interact.adl.plot' has no way of determining, from the variable list, which correspond with which",
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      ]
    },
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      "title": "Generate pulse effect formulae for a given autoregressive distributed lag (ADL) model",
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        "pulse.calculator"
      ]
    },
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      "page": "toy.ts.interaction.data",
      "title": "Simulated interactive time series data",
      "topics": [
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