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  "Package": "vachette",
  "Title": "A Method for Visualization of Pharmacometric Models",
  "Version": "1.0.0",
  "Authors@R": "c(\nperson(\"Jos\", \"Lommerse\", email = \"jos.lommerse@gmail.com\", role = c(\"aut\")),\nperson(\"Anna\", \"Largajolli\", email = \"anna.largajolli@certara.com\", role = c(\"aut\")),\nperson(\"James\", \"Craig\", email = \"james.craig@certara.com\", role = c(\"aut\", \"cre\")),\nperson(\"Nele\", \"Mueller-Plock\", email = \"nele.mueller-plock@certara.com\", role = c(\"ctb\")),\nperson(\"Jeff\", \"Sachs\", email = \"jeff_sachs@merck.com\", role = c(\"ctb\")),\nperson(\"Amy\", \"Cheung\", email = \"amy.cheung@certara.com\", role = c(\"ctb\")),\nperson(\"Certara USA, Inc.\", role = c(\"cph\",\"fnd\"))\n)",
  "Description": "A method to visualize pharmacometric analyses which are\nimpacted by covariate effects. Variability-aligned covariate\nharmonized-effects and time-transformation equivalent\n('vachette') facilitates intuitive overlays of data and model\npredictions, allowing for comprehensive comparison without\ndilution effects. 'vachette' improves upon previous methods\nLommerse et al. (2021) <doi:10.1002/psp4.12679>, enabling its\napplication to all pharmacometric models and enhancing Visual\nPredictive Checks (VPC) by integrating data into cohesive plots\nthat can highlight model misspecification.",
  "URL": "https://github.com/certara/vachette",
  "BugReports": "https://github.com/certara/vachette/issues",
  "License": "LGPL-3",
  "Encoding": "UTF-8",
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  "Repository": "https://certara.r-universe.dev",
  "Date/Publication": "2026-06-19 03:34:13 UTC",
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    "User": "root"
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  "Maintainer": "James Craig <james.craig@certara.com>",
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    "extra/citation.html",
    "extra/citation.json",
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    "p.add.distances",
    "p.obs.cov",
    "p.obs.excluded",
    "p.obs.ref.query",
    "p.prop.distances",
    "p.scaled.observation.curves",
    "p.scaled.observation.curves.by.id",
    "p.scaled.typical.curves",
    "p.scaled.typical.curves.landmarks",
    "p.scaled.typical.full.curves.landmarks",
    "p.scaling.factor",
    "p.vachette",
    "p.vachette.arrow",
    "vachette_data"
  ],
  "_help": [
    {
      "page": "apply_transformations",
      "title": "Apply vachette transformations",
      "topics": [
        "apply_transformations",
        "apply_transformations.vachette_data"
      ]
    },
    {
      "page": "p.add.distances",
      "title": "Plot Distances Before and After 'vachette' Transformation Assuming Additive Error Model",
      "topics": [
        "p.add.distances"
      ]
    },
    {
      "page": "p.obs.cov",
      "title": "Plot Observations and Typical Curves Faceted by Covariate",
      "topics": [
        "p.obs.cov"
      ]
    },
    {
      "page": "p.obs.excluded",
      "title": "Plot Excluded Observations with Reasons for Exclusion",
      "topics": [
        "p.obs.excluded"
      ]
    },
    {
      "page": "p.obs.ref.query",
      "title": "Plot Observations and Typical Curves for Query and Reference Data",
      "topics": [
        "p.obs.ref.query"
      ]
    },
    {
      "page": "p.prop.distances",
      "title": "Plot Distances Before and After 'vachette' Transformation Assuming Proportional Error Model",
      "topics": [
        "p.prop.distances"
      ]
    },
    {
      "page": "p.scaled.observation.curves",
      "title": "Plot 'vachette' Transformed Observation Curves",
      "topics": [
        "p.scaled.observation.curves"
      ]
    },
    {
      "page": "p.scaled.observation.curves.by.id",
      "title": "Plot 'vachette' Transformed Observation Curves by Individual",
      "topics": [
        "p.scaled.observation.curves.by.id"
      ]
    },
    {
      "page": "p.scaled.typical.curves",
      "title": "Plot 'vachette' Transformed Typical Curves",
      "topics": [
        "p.scaled.typical.curves"
      ]
    },
    {
      "page": "p.scaled.typical.curves.landmarks",
      "title": "Plot 'vachette' Transformed Typical Curves with Landmarks",
      "topics": [
        "p.scaled.typical.curves.landmarks"
      ]
    },
    {
      "page": "p.scaled.typical.full.curves.landmarks",
      "title": "Plot Full 'vachette' Transformed Typical Curves with Landmarks",
      "topics": [
        "p.scaled.typical.full.curves.landmarks"
      ]
    },
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      "page": "p.scaling.factor",
      "title": "Plot Scaling Factors for Typical Curves",
      "topics": [
        "p.scaling.factor"
      ]
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      "page": "p.vachette",
      "title": "Main Vachette Plot",
      "topics": [
        "p.vachette"
      ]
    },
    {
      "page": "p.vachette.arrow",
      "title": "Plot Observations and 'vachette' Transformed Observations with Connecting Arrows",
      "topics": [
        "p.vachette.arrow"
      ]
    },
    {
      "page": "print.vachette_data",
      "title": "Print 'vachette_data'",
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        "print.vachette_data"
      ]
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      "page": "summary.vachette_data",
      "title": "Summarise 'vachette_data'",
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        "summary.vachette_data"
      ]
    },
    {
      "page": "vachette_data",
      "title": "Initialize vachette object with required data",
      "topics": [
        "vachette_data"
      ]
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