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  "Package": "ec50estimator",
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  "Title": "An Automated Way to Estimate EC50 for Stratified Datasets",
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  "Date": "2026-05-24",
  "Authors@R": "c(\nperson(given = \"Kaique dos S.\",\nfamily = \"Alves\",\nrole = c(\"aut\", \"cre\"),\nemail = \"kaiquedsalves@gmail.com\",\ncomment = c(ORCID = \"0000-0001-9187-0252\")\n))",
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  "Description": "Estimates effective concentrations that reduce growth by\n50 percent (EC50) in multi-isolate and stratified dose-response\nexperiments. The package wraps model fitting from drc, returns\ndata-frame outputs, and provides helper functions for data\nchecks, model selection, fitted-curve plotting, prediction,\ndiagnostics, and reporting. Information about drc is available\nin Ritz C, Baty F, Streibig JC, Gerhard D (2015)\n<doi:10.1371/journal.pone.0146021>.",
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  "Repository": "https://alvesks.r-universe.dev",
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    "curve_data",
    "ec50_estimates",
    "ec50_metadata",
    "ec50_multimodel",
    "estimate_EC50",
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        "growth"
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    }
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    {
      "page": "check_ec50_data",
      "title": "Check dose-response data before EC50 fitting",
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    },
    {
      "page": "ec50_extractors",
      "title": "Extract information from fitted EC50 objects",
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        "ec50_estimates",
        "ec50_extractors",
        "ec50_metadata",
        "fitted_models"
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    },
    {
      "page": "estimate_EC50",
      "title": "Estimate effective doses for grouped dose-response data",
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        "ec50_multimodel",
        "estimate_EC50"
      ]
    },
    {
      "page": "fit_quality",
      "title": "Inspect EC50 fit quality and failures",
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        "fit_quality"
      ]
    },
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      "title": "Select EC50 candidate models",
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        "model_selection"
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    },
    {
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      ]
    },
    {
      "page": "plot_EC50_curves",
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      "topics": [
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    },
    {
      "page": "predict_ec50",
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      ]
    },
    {
      "page": "report_ec50",
      "title": "Build EC50 report tables",
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      ]
    },
    {
      "page": "residual_data",
      "title": "Extract and plot EC50 residual diagnostics",
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        "residual_data"
      ]
    }
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