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  "Title": "Concentration-Response Data Analysis using Curvep",
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  "Authors@R": "c(\nperson(\"Jui-Hua\", \"Hsieh\", email = \"juihua.hsieh@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1620-1571\")),\nperson(\"Alexander\", \"Sedykh\", role = c(\"aut\")),\nperson(\"Fred\", \"Parham\", role = c(\"ctb\")),\nperson(\"Yuhong\", \"Wang\", role = c(\"ctb\")),\nperson(\"Tongan\", \"Zhao\", role = c(\"aut\")),\nperson(\"Ruili\", \"Huang\", role = c(\"ctb\"))\n)",
  "Description": "An R interface for processing concentration-response\ndatasets using Curvep, a response noise filtering algorithm.\nThe algorithm was described in the publications (Sedykh A et\nal. (2011) <doi:10.1289/ehp.1002476> and Sedykh A (2016)\n<doi:10.1007/978-1-4939-6346-1_14>). Other parametric fitting\napproaches (e.g., Hill equation) are also adopted for ease of\ncomparison. 3-parameter Hill equation from 'tcpl' package\n(Filer D et al., <doi:10.1093/bioinformatics/btw680>) and\n4-parameter Hill equation from Curve Class2 approach (Wang Y et\nal., <doi:10.2174/1875397301004010057>) are available. Also,\nmethods for calculating the confidence interval around the\nactivity metrics are also provided. The methods are based on\nthe bootstrap approach to simulate the datasets (Hsieh J-H et\nal. <doi:10.1093/toxsci/kfy258>). The simulated datasets can be\nused to derive the baseline noise threshold in an assay\nendpoint. This threshold is critical in the toxicological\nstudies to derive the point-of-departure (POD).",
  "Language": "en-US",
  "BugReports": "https://github.com/moggces/Rcurvep/issues",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/moggces/Rcurvep,\nhttps://moggces.github.io/Rcurvep/",
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  "Repository": "https://moggces.r-universe.dev",
  "Date/Publication": "2025-05-30 13:28:32 UTC",
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  "Author": "Jui-Hua Hsieh [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1620-1571>),\nAlexander Sedykh [aut],\nFred Parham [ctb],\nYuhong Wang [ctb],\nTongan Zhao [aut],\nRuili Huang [ctb]",
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      "object": "zfishbeh",
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        "tbl",
        "data.frame"
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        "conc",
        "resp"
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        "tbl",
        "data.frame"
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      "table": true,
      "tojson": true
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      "name": "zfishdev_act",
      "title": "Activity output based on simulated datasets using zfishdev_all dataset",
      "object": "zfishdev_act",
      "class": [
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      "fields": [],
      "table": false,
      "tojson": false
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      "title": "Full sets of concentration response datasets from zebrafish developmental toxicity assays",
      "object": "zfishdev_all",
      "class": [
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    },
    {
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      "topics": [
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      ]
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      "topics": [
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      ]
    },
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      "page": "curvep",
      "title": "The Curvep function to process one set of concentration-response data",
      "topics": [
        "curvep"
      ]
    },
    {
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      "topics": [
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      ]
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      "title": "Fit one set of concentration-response data using types of models",
      "topics": [
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    {
      "page": "plot.rcurvep_bmr",
      "title": "Plot BMR diagnostic curves",
      "topics": [
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    },
    {
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      "title": "Run parametric fits using types of models on concentration-response datasets",
      "topics": [
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    },
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        "Set up the packages",
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      "commit": "7dd6963393731112109b6a8980539ccb6d0f5db7",
      "fileid": "https://r2.ropensci.org/ef8b814c31bdabecfa556bbe68341ce0d5d7687f6b81a975989634c01686e4af",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/moggces/actions/runs/35828610864"
    }
  ]
}