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  "Package": "valytics",
  "Title": "Statistical Methods for Analytical Method Comparison and\nValidation",
  "Version": "0.4.1",
  "Date": "2026-02-19",
  "Authors@R": "person(\"Marcello\", \"Grassi\", , \"marcello.grassi@tum.de\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0008-8904-4988\"))",
  "Description": "Provides statistical methods for analytical method\ncomparison and validation studies. Implements Bland-Altman\nanalysis for assessing agreement between measurement methods\n(Bland & Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>),\nPassing-Bablok regression for non-parametric method comparison\n(Passing & Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>),\nand Deming regression accounting for measurement error in both\nvariables (Linnet (1993) <doi:10.1093/clinchem/39.3.424>). Also\nincludes tools for setting quality goals based on biological\nvariation (Fraser & Petersen (1993)\n<doi:10.1093/clinchem/39.7.1447>) and calculating Six Sigma\nmetrics, precision experiments with variance component\nanalysis, precision profiles for functional sensitivity\nestimation (Kroll & Emancipator (1993)\n<https://pubmed.ncbi.nlm.nih.gov/8448849/>). Commonly used in\nclinical laboratory method validation. Provides\npublication-ready plots and comprehensive statistical\nsummaries.",
  "License": "GPL-3",
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  "URL": "https://github.com/marcellogr/valytics",
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  "VignetteBuilder": "knitr",
  "Repository": "https://marcellogr.r-universe.dev",
  "Date/Publication": "2026-02-24 10:25:13 UTC",
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    "User": "root"
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  "Author": "Marcello Grassi [aut, cre] (ORCID:\n<https://orcid.org/0009-0008-8904-4988>)",
  "Maintainer": "Marcello Grassi <marcello.grassi@tum.de>",
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    "ate_from_bv",
    "autoplot",
    "ba_analysis",
    "deming_regression",
    "pb_regression",
    "precision_profile",
    "precision_study",
    "sigma_metric",
    "verify_precision"
  ],
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    {
      "name": "creatinine_serum",
      "title": "Serum Creatinine Method Comparison Dataset",
      "object": "creatinine_serum",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sample_id",
        "enzymatic",
        "jaffe"
      ],
      "rows": 80,
      "table": true,
      "tojson": true
    },
    {
      "name": "glucose_methods",
      "title": "Glucose Method Comparison Dataset",
      "object": "glucose_methods",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sample_id",
        "reference",
        "poc_meter"
      ],
      "rows": 60,
      "table": true,
      "tojson": true
    },
    {
      "name": "troponin_cardiac",
      "title": "Cardiac Troponin Method Comparison Dataset",
      "object": "troponin_cardiac",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sample_id",
        "platform_a",
        "platform_b"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "troponin_precision",
      "title": "High-Sensitivity Cardiac Troponin I Precision Dataset",
      "object": "troponin_precision",
      "class": [
        "data.frame"
      ],
      "fields": [
        "level",
        "day",
        "run",
        "replicate",
        "value",
        "target"
      ],
      "rows": 120,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ate_assessment",
      "title": "Assess Analytical Performance Against Allowable Total Error",
      "topics": [
        "ate_assessment"
      ]
    },
    {
      "page": "ate_from_bv",
      "title": "Calculate Allowable Total Error from Biological Variation",
      "topics": [
        "ate_from_bv"
      ]
    },
    {
      "page": "ba_analysis",
      "title": "Bland-Altman Analysis for Method Comparison",
      "topics": [
        "ba_analysis"
      ]
    },
    {
      "page": "creatinine_serum",
      "title": "Serum Creatinine Method Comparison Dataset",
      "topics": [
        "creatinine_serum"
      ]
    },
    {
      "page": "deming_regression",
      "title": "Deming Regression for Method Comparison",
      "topics": [
        "deming_regression"
      ]
    },
    {
      "page": "glucose_methods",
      "title": "Glucose Method Comparison Dataset",
      "topics": [
        "glucose_methods"
      ]
    },
    {
      "page": "pb_regression",
      "title": "Passing-Bablok Regression for Method Comparison",
      "topics": [
        "pb_regression"
      ]
    },
    {
      "page": "plot.ba_analysis",
      "title": "Plot method for ba_analysis objects",
      "topics": [
        "autoplot.ba_analysis",
        "plot.ba_analysis"
      ]
    },
    {
      "page": "plot.deming_regression",
      "title": "Plot method for deming_regression objects",
      "topics": [
        "autoplot.deming_regression",
        "plot.deming_regression"
      ]
    },
    {
      "page": "plot.pb_regression",
      "title": "Plot method for pb_regression objects",
      "topics": [
        "autoplot.pb_regression",
        "plot.pb_regression"
      ]
    },
    {
      "page": "plot.precision_profile",
      "title": "Plot method for precision_profile objects",
      "topics": [
        "autoplot.precision_profile",
        "plot.precision_profile"
      ]
    },
    {
      "page": "plot.precision_study",
      "title": "Plot method for precision_study objects",
      "topics": [
        "autoplot.precision_study",
        "plot.precision_study"
      ]
    },
    {
      "page": "precision_profile",
      "title": "Precision Profile Analysis",
      "topics": [
        "precision_profile"
      ]
    },
    {
      "page": "precision_study",
      "title": "Precision Study Analysis",
      "topics": [
        "precision_study"
      ]
    },
    {
      "page": "print.ate_assessment",
      "title": "Print method for ate_assessment objects",
      "topics": [
        "print.ate_assessment"
      ]
    },
    {
      "page": "print.ate_specs",
      "title": "Print method for ate_specs objects",
      "topics": [
        "print.ate_specs"
      ]
    },
    {
      "page": "print.ba_analysis",
      "title": "Print method for ba_analysis objects",
      "topics": [
        "print.ba_analysis"
      ]
    },
    {
      "page": "print.deming_regression",
      "title": "Print method for deming_regression objects",
      "topics": [
        "print.deming_regression"
      ]
    },
    {
      "page": "print.pb_regression",
      "title": "Print method for pb_regression objects",
      "topics": [
        "print.pb_regression"
      ]
    },
    {
      "page": "print.precision_profile",
      "title": "Print method for precision_profile objects",
      "topics": [
        "print.precision_profile"
      ]
    },
    {
      "page": "print.precision_study",
      "title": "Print method for precision_study objects",
      "topics": [
        "print.precision_study"
      ]
    },
    {
      "page": "print.sigma_metric",
      "title": "Print method for sigma_metric objects",
      "topics": [
        "print.sigma_metric"
      ]
    },
    {
      "page": "print.summary.ba_analysis",
      "title": "Print method for summary.ba_analysis objects",
      "topics": [
        "print.summary.ba_analysis"
      ]
    },
    {
      "page": "print.summary.precision_profile",
      "title": "Print method for summary.precision_profile objects",
      "topics": [
        "print.summary.precision_profile"
      ]
    },
    {
      "page": "print.summary.precision_study",
      "title": "Print method for summary.precision_study objects",
      "topics": [
        "print.summary.precision_study"
      ]
    },
    {
      "page": "print.summary.verify_precision",
      "title": "Print method for summary.verify_precision objects",
      "topics": [
        "print.summary.verify_precision"
      ]
    },
    {
      "page": "print.verify_precision",
      "title": "Print method for verify_precision objects",
      "topics": [
        "print.verify_precision"
      ]
    },
    {
      "page": "sigma_metric",
      "title": "Calculate Six Sigma Metric for Analytical Performance",
      "topics": [
        "sigma_metric"
      ]
    },
    {
      "page": "summary.ate_assessment",
      "title": "Summary method for ate_assessment objects",
      "topics": [
        "summary.ate_assessment"
      ]
    },
    {
      "page": "summary.ate_specs",
      "title": "Summary method for ate_specs objects",
      "topics": [
        "summary.ate_specs"
      ]
    },
    {
      "page": "summary.ba_analysis",
      "title": "Summary method for ba_analysis objects",
      "topics": [
        "summary.ba_analysis"
      ]
    },
    {
      "page": "summary.deming_regression",
      "title": "Summary method for deming_regression objects",
      "topics": [
        "summary.deming_regression"
      ]
    },
    {
      "page": "summary.pb_regression",
      "title": "Summary method for pb_regression objects",
      "topics": [
        "summary.pb_regression"
      ]
    },
    {
      "page": "summary.precision_profile",
      "title": "Summary method for precision_profile objects",
      "topics": [
        "summary.precision_profile"
      ]
    },
    {
      "page": "summary.precision_study",
      "title": "Summary method for precision_study objects",
      "topics": [
        "summary.precision_study"
      ]
    },
    {
      "page": "summary.sigma_metric",
      "title": "Summary method for sigma_metric objects",
      "topics": [
        "summary.sigma_metric"
      ]
    },
    {
      "page": "summary.verify_precision",
      "title": "Summary method for verify_precision objects",
      "topics": [
        "summary.verify_precision"
      ]
    },
    {
      "page": "troponin_cardiac",
      "title": "Cardiac Troponin Method Comparison Dataset",
      "topics": [
        "troponin_cardiac"
      ]
    },
    {
      "page": "troponin_precision",
      "title": "High-Sensitivity Cardiac Troponin I Precision Dataset",
      "topics": [
        "troponin_precision"
      ]
    },
    {
      "page": "verify_precision",
      "title": "Precision Verification Against Manufacturer Claims",
      "topics": [
        "verify_precision"
      ]
    }
  ],
  "_pkglogo": "https://github.com/marcellogr/valytics/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/marcellogr/valytics/raw/HEAD/README.md",
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    "ggplot2",
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      "source": "deming-regression.Rmd",
      "filename": "deming-regression.html",
      "title": "Deming Regression for Method Comparison",
      "author": "Marcello Grassi",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "The Problem with Ordinary Least Squares",
        "Deming Regression Theory",
        "The Error Ratio (λ)",
        "Choosing the Error Ratio",
        "Basic Usage",
        "Detailed Results",
        "Visualization",
        "Residual Diagnostics",
        "Specifying the Error Ratio",
        "Estimating λ from CVs",
        "Confidence Interval Methods",
        "Jackknife (Default)",
        "Bootstrap BCa",
        "Comparison with Passing-Bablok",
        "When to Use Deming",
        "When to Use Passing-Bablok",
        "Side-by-Side Comparison",
        "Complete Workflow Example",
        "Extracting Results",
        "References"
      ],
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      "author": "Marcello Grassi",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Getting Started",
        "Bland-Altman Analysis",
        "Running the Analysis",
        "Interpreting Results",
        "Visualization",
        "Percentage Differences",
        "Passing-Bablok Regression",
        "Running the Regression",
        "Bootstrap Confidence Intervals",
        "Putting It All Together",
        "Handling Missing Data",
        "Additional Datasets",
        "References"
      ],
      "created": "2026-01-01 14:43:29",
      "modified": "2026-01-03 20:29:49",
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      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "The Precision Profile Concept",
        "Example: High-Sensitivity Troponin Assay",
        "Step 1: Precision Study Analysis",
        "Step 2: Generate Precision Profile",
        "Understanding the Model Parameters",
        "Visualizing the Precision Profile",
        "Functional Sensitivity",
        "Unachievable Targets",
        "Bootstrap Confidence Intervals",
        "Alternative: Linear Model",
        "Detailed Summary",
        "Working with Data Frames Directly",
        "Clinical Application Example",
        "Recommendations for Precision Profile Studies",
        "Summary",
        "References"
      ],
      "created": "2026-02-10 08:33:34",
      "modified": "2026-02-10 08:33:34",
      "commits": 1
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      "filename": "quality-goals-biological-variation.html",
      "title": "Setting Quality Goals with Biological Variation",
      "author": "Marcello Grassi",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "The Biological Variation Model",
        "Concept",
        "The Formulas",
        "Performance Hierarchy",
        "Calculating Specifications with ate_from_bv()",
        "Basic Usage",
        "Comparing Performance Levels",
        "Different Performance Levels",
        "When CV~G~ is Unknown",
        "The Six Sigma Metric",
        "Calculating Sigma",
        "Detailed Sigma Summary",
        "Interpreting Sigma in Clinical Context",
        "Comprehensive Assessment with ate_assessment()",
        "Basic Assessment",
        "Full Component Assessment",
        "Handling a Failing Method",
        "Complete Workflow Example",
        "Obtaining Biological Variation Data",
        "Recommended Source",
        "Using the Database",
        "Important Considerations",
        "Beyond Biological Variation",
        "Summary",
        "References"
      ],
      "created": "2026-01-12 10:25:56",
      "modified": "2026-01-18 13:53:08",
      "commits": 2
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    {
      "source": "understanding-statistics.Rmd",
      "filename": "understanding-statistics.html",
      "title": "Understanding Method Comparison Statistics",
      "author": "Marcello Grassi",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Statistical Concepts in Bland-Altman Analysis",
        "What is Bias?",
        "What are Limits of Agreement?",
        "Visualizing Agreement",
        "Checking Assumptions",
        "Statistical Concepts in Passing-Bablok Regression",
        "Slope and Intercept",
        "Translating to Practical Differences",
        "Linearity Assessment",
        "Common Analysis Considerations",
        "Correlation is Not Agreement",
        "Sample Characteristics Matter",
        "Statistical vs. Practical Significance",
        "Creating Analysis Reports",
        "Choosing the Right Method",
        "Method Comparison Table",
        "Decision Flowchart",
        "Using Multiple Methods",
        "Summary",
        "References"
      ],
      "created": "2026-01-03 20:29:49",
      "modified": "2026-01-07 18:44:50",
      "commits": 2
    }
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