{
  "_id": "6ae2f6603d0f299392dd0207",
  "Package": "ParCC",
  "Title": "Parameter Converter and Calculator for Health Technology\nAssessment",
  "Version": "1.4.1",
  "Authors@R": "c(\nperson(\"Abhijit\", \"Pakhare\", email = \"drpakhare@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Soumya\", \"Jain\", role = \"aut\"),\nperson(\"Anvita\", \"Malhotra\", role = \"aut\"),\nperson(\"Shivansh\", \"Verma\", role = \"aut\"),\nperson(\"Biju\", \"Somen\", role = \"aut\"),\nperson(\"Oshima\", \"Sachin\", role = \"aut\"),\nperson(\"Beena\", \"Joshi\", role = \"aut\"),\nperson(\"Ankur\", \"Joshi\", role = \"aut\")\n)",
  "Description": "An interactive 'shiny' application for Health Technology\nAssessment (HTA) parameter estimation. Converts between rates,\nprobabilities, odds, and hazard ratios (HR); extrapolates\nsurvival curves (Exponential, Weibull, Log-Logistic); fits\nprobabilistic sensitivity analysis (PSA) distributions (Beta,\nGamma, LogNormal, Dirichlet) via the method of moments;\ncalculates incremental cost-effectiveness ratios (ICERs), net\nmonetary benefit (NMB), value-based pricing, and budget impact;\nadjusts costs for inflation, discounting, and purchasing power\nparity (PPP) across 30 countries; and adjusts background\nmortality using life-table methods. Designed for researchers\nbuilding cost-effectiveness and budget-impact models who need\nauditable, formula-documented parameter transformations.\nMethods include Zhang and Yu (1998)\n<doi:10.1001/jama.280.19.1690> for odds ratio (OR) to relative\nrisk (RR) conversion and Chinn (2000, Statistics in Medicine,\n19, 3127-3131) for effect-size transformations.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "URL": "https://drpakhare.github.io/ParCC/,\nhttps://github.com/drpakhare/ParCC",
  "BugReports": "https://github.com/drpakhare/ParCC/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev\nzlib1g-dev",
  "Repository": "https://drpakhare.r-universe.dev",
  "Date/Publication": "2026-10-28 03:18:57 UTC",
  "RemoteUrl": "https://github.com/drpakhare/parcc",
  "RemoteRef": "HEAD",
  "RemoteSha": "df68d304b6715459de074843b91744d0721c97d2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-28 06:08:34 UTC",
    "User": "root"
  },
  "Author": "Abhijit Pakhare [aut, cre],\nSoumya Jain [aut],\nAnvita Malhotra [aut],\nShivansh Verma [aut],\nBiju Somen [aut],\nOshima Sachin [aut],\nBeena Joshi [aut],\nAnkur Joshi [aut]",
  "Maintainer": "Abhijit Pakhare <drpakhare@gmail.com>",
  "_user": "drpakhare",
  "_type": "src",
  "_file": "ParCC_1.4.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/572d37f77f427b4e58e02e28868c1c0f175d9a363eb3c7cb093bf7bf1282a8d7",
  "_filesize": 279861,
  "_sha256": "572d37f77f427b4e58e02e28868c1c0f175d9a363eb3c7cb093bf7bf1282a8d7",
  "_expires": "2027-02-05T06:16:22.000Z",
  "_created": "2026-10-28T06:08:34.000Z",
  "_published": "2026-10-29T07:31:44.788Z",
  "_upstream": "https://github.com/drpakhare/parcc",
  "_status": "success",
  "_maintainer": {
    "name": "Abhijit Pakhare",
    "email": "drpakhare@gmail.com",
    "login": "drpakhare",
    "twitter": "@drpakhare",
    "description": "",
    "uuid": 73765074
  },
  "_jobs": [
    {
      "job": 123319077410,
      "time": 176,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "12880417984"
    },
    {
      "job": 123319078823,
      "time": 130,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "12796063125"
    },
    {
      "job": 123319079036,
      "time": 106,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "12795704091"
    },
    {
      "job": 123319078820,
      "time": 194,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "12795819237"
    },
    {
      "job": 123319108751,
      "time": 206,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12795853186"
    },
    {
      "job": 123319079330,
      "time": 104,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12795703798"
    },
    {
      "job": 123319078984,
      "time": 100,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "12795962933"
    },
    {
      "job": 123319078873,
      "time": 102,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "12796003027"
    },
    {
      "job": 123319116793,
      "time": 103,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "12795323512"
    }
  ],
  "_buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268",
  "_commit": {
    "id": "df68d304b6715459de074843b91744d0721c97d2",
    "author": "Abhijit Pakhare <drpakhare@gmail.com>",
    "committer": "Abhijit Pakhare <drpakhare@gmail.com>",
    "message": "v1.4.1: input validation, Learn tab fixes, 6 new tutorials\n\n- Convert all validate(need()) to showNotification()+return() across 8 modules (43 checks)\n- Fix 12 navigation paths in tutorials to match actual app menu\n- Add 6 missing tutorials: Odds, Diagnostics, ICER, PPP, Annuity, LogNormal\n- Add What's New in v1.4.1 section\n- Update version string to v1.4.1\n\nCo-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>\n",
    "time": 1793157537
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "shiny",
      "role": "Imports"
    },
    {
      "package": "shinythemes",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "plotly",
      "role": "Imports"
    },
    {
      "package": "DT",
      "role": "Imports"
    },
    {
      "package": "rmarkdown",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "drpakhare",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-49",
      "n": 3
    },
    {
      "week": "2026-12",
      "n": 12
    },
    {
      "week": "2026-13",
      "n": 2
    },
    {
      "week": "2026-14",
      "n": 2
    },
    {
      "week": "2026-25",
      "n": 1
    },
    {
      "week": "2026-41",
      "n": 6
    },
    {
      "week": "2026-44",
      "n": 4
    }
  ],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "drpakhare",
      "count": 36,
      "uuid": 73765074
    }
  ],
  "_userbio": {
    "uuid": 73765074,
    "type": "user",
    "name": "Dr Abhijit Pakhare",
    "followers": 10
  },
  "_downloads": {
    "count": 351,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ParCC"
  },
  "_devurl": "https://github.com/drpakhare/parcc",
  "_pkgdown": "https://drpakhare.github.io/ParCC/",
  "_searchresults": 5,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/ParCC.html",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/drpakhare/parcc",
  "_realowner": "drpakhare",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.4.0",
      "date": "2026-03-30"
    },
    {
      "version": "1.4.1",
      "date": "2026-10-08"
    }
  ],
  "_exports": [
    "run_app"
  ],
  "_help": [
    {
      "page": "run_app",
      "title": "Run the ParCC Application",
      "topics": [
        "run_app"
      ]
    }
  ],
  "_pkglogo": "https://github.com/drpakhare/parcc/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/drpakhare/parcc/raw/HEAD/README.md",
  "_rundeps": [
    "askpass",
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "commonmark",
    "cpp11",
    "crosstalk",
    "curl",
    "data.table",
    "digest",
    "dplyr",
    "DT",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fs",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httpuv",
    "httr",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "memoise",
    "mime",
    "openssl",
    "otel",
    "pillar",
    "pkgconfig",
    "plotly",
    "promises",
    "purrr",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "rlang",
    "rmarkdown",
    "S7",
    "sass",
    "scales",
    "shiny",
    "shinythemes",
    "sourcetools",
    "stringi",
    "stringr",
    "sys",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "xtable",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "background-mortality.Rmd",
      "filename": "background-mortality.html",
      "title": "Background Mortality Adjustments",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Why Background Mortality Matters",
        "Method 1: SMR Adjustment",
        "The Scenario  --  Heart Failure Cohort",
        "The Formula",
        "Worked Example",
        "Method 2: DEALE (Declining Exponential Approximation of Life Expectancy)",
        "The Scenario  --  Rare Disease with Known Life Expectancy",
        "Method 3: Gompertz Parameterization",
        "When to Use",
        "Method 4: Linear Interpolation",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "batch-workflow.Rmd",
      "filename": "batch-workflow.html",
      "title": "Batch Conversion Workflow",
      "engine": "knitr::rmarkdown",
      "headings": [
        "When to Use Batch Conversion",
        "Supported Conversion Types",
        "Example: PLATO Trial Parameters",
        "Step 1: Prepare Your CSV",
        "Step 2: Upload and Configure",
        "Step 3: Run and Review",
        "Step 4: Download",
        "Example Output",
        "Tips",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "budget-impact-analysis.Rmd",
      "filename": "budget-impact-analysis.html",
      "title": "Budget Impact Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Tutorial: 5-Year BIA for a New Oral Anticoagulant",
        "The Scenario",
        "The Framework",
        "In ParCC",
        "Reading the Output",
        "Interpreting Year 1",
        "Key Modelling Decisions",
        "Time Horizon",
        "Uptake Trajectory",
        "Discounting",
        "Population Dynamics",
        "ISPOR Good Practice Checklist",
        "References"
      ],
      "created": "2026-03-21 07:18:02",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "core-conversions.Rmd",
      "filename": "core-conversions.html",
      "title": "Core Conversions: Rates, Odds, and Time Rescaling",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Tutorial 1: Rate to Probability",
        "The Scenario  --  Anticoagulant Safety (RE-LY Trial)",
        "Why Simple Division is Wrong",
        "The Formula",
        "Worked Example",
        "In ParCC",
        "Tutorial 2: Time Rescaling",
        "The Scenario  --  UKPDS Risk Engine",
        "Tutorial 3: Odds to Probability",
        "The Scenario  --  Logistic Regression Output",
        "The Conversion",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "dirichlet-loglogistic.Rmd",
      "filename": "dirichlet-loglogistic.html",
      "title": "Dirichlet Distribution & Log-Logistic Survival",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Part A: Dirichlet for Transition Matrices",
        "The Problem",
        "The Dirichlet Solution",
        "Sampling via Gamma Decomposition",
        "In ParCC",
        "When to Use Dirichlet vs Independent Betas",
        "Part B: Log-Logistic Survival",
        "The Log-Logistic Distribution",
        "Calibration Method",
        "Choosing the Right Survival Distribution",
        "Extrapolation Warning",
        "References"
      ],
      "created": "2026-03-21 07:18:02",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "economic-evaluation.Rmd",
      "filename": "economic-evaluation.html",
      "title": "Economic Evaluation: ICER, NMB, and Value-Based Pricing",
      "engine": "knitr::rmarkdown",
      "headings": [
        "ICER (Incremental Cost-Effectiveness Ratio)",
        "The Formula",
        "The Scenario  --  New Diabetes Drug",
        "Interpretation",
        "Net Monetary Benefit (iNMB)",
        "Value-Based Pricing (Headroom Analysis)",
        "The Scenario  --  SepsiQuick (Point-of-Care Test for Sepsis)",
        "The Formulas",
        "Worked Example",
        "What If You Price Above the Headroom?",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "getting-started.Rmd",
      "filename": "getting-started.html",
      "title": "Getting Started with ParCC",
      "engine": "knitr::rmarkdown",
      "headings": [
        "What is ParCC?",
        "Installation",
        "Launching the Application",
        "The Lab Notebook Workflow",
        "Application Overview",
        "Parameter Estimation",
        "Uncertainty Analysis",
        "Financial Adjustments",
        "Decision Outputs",
        "Next Steps",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "hr-probability-converter.Rmd",
      "filename": "hr-probability-converter.html",
      "title": "HR-Based Probability Converter",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The Problem",
        "The Three-Step Method",
        "Worked Example 1: PLATO Trial (Ticagrelor vs Aspirin)",
        "CV Death Conversion",
        "With 95% Confidence Interval",
        "Worked Example 2: High Event Rate (Oncology)",
        "Worked Example 3: Rescaling to Monthly Cycles",
        "Batch Conversion",
        "Example CSV format:",
        "Multi-HR Comparison",
        "Key Assumptions and Limitations",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 00:24:12",
      "commits": 1
    },
    {
      "source": "nnt-logrank-hr.Rmd",
      "filename": "nnt-logrank-hr.html",
      "title": "NNT/NNH Calculator & Log-rank to Hazard Ratio",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Tutorial A: Extracting a Hazard Ratio from a Log-rank Test",
        "The Scenario  --  Adjuvant Chemotherapy in Colon Cancer",
        "The Peto Approximation",
        "In ParCC",
        "Alternative: From a p-value",
        "Tutorial B: Computing NNT for a Formulary Decision",
        "The Scenario  --  Hospital P&T Committee",
        "The Formula",
        "Other Input Modes",
        "NNT vs NNH",
        "When to Use These Tools",
        "References"
      ],
      "created": "2026-03-21 07:18:02",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "or-rr-effect-sizes.Rmd",
      "filename": "or-rr-effect-sizes.html",
      "title": "OR <-> RR Conversion & Effect Size Transformations",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Tutorial: Preparing Data for an NMA in Depression",
        "The Scenario",
        "Step 1: Convert OR to RR (Zhang & Yu Method)",
        "Why This Matters",
        "Step 2: Convert SMD to log(OR) (Chinn Method)",
        "Step 3: Convert log(OR) to log(RR)",
        "When to Use These Conversions",
        "The Rare-Disease Approximation",
        "References"
      ],
      "created": "2026-03-21 07:18:02",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "psa-distributions.Rmd",
      "filename": "psa-distributions.html",
      "title": "Parameterizing Distributions for PSA",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Why PSA Needs the Right Distribution",
        "Tutorial 1: Utilities with Beta Distribution",
        "The Scenario  --  EQ-5D Utility in COPD",
        "The Method of Moments",
        "Worked Example",
        "Tutorial 2: Costs with Gamma Distribution",
        "The Scenario  --  Surgery Cost (AIIMS Costing Study)",
        "Tutorial 3: Hazard Ratios with LogNormal Distribution",
        "The Scenario  --  HR from Network Meta-Analysis",
        "The Method",
        "When SE is Missing: The Rule of 4",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "Tutorial.Rmd",
      "filename": "Tutorial.html",
      "title": "ParCC Tutorial Index",
      "engine": "knitr::rmarkdown",
      "headings": [
        "ParCC Vignette Library",
        "Getting Started",
        "Core Conversions",
        "Hazard Ratio Conversion (NEW in v1.3.0)",
        "Survival Extrapolation",
        "Background Mortality",
        "Probabilistic Sensitivity Analysis",
        "Economic Evaluation",
        "Batch Processing",
        "Key References"
      ],
      "created": "2025-12-05 21:02:23",
      "modified": "2026-03-21 07:28:07",
      "commits": 3
    },
    {
      "source": "ppp-converter.Rmd",
      "filename": "ppp-converter.html",
      "title": "PPP Currency Conversion & WTP Thresholds",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Tutorial: Is a US Drug Affordable in India?",
        "The Scenario",
        "Why Market Exchange Rates Are Wrong",
        "The PPP Approach",
        "In ParCC",
        "Reading the Output",
        "WTP Threshold Assessment",
        "Implications for Pricing",
        "Override Values",
        "Supported Countries (30)",
        "Important Caveats",
        "References"
      ],
      "created": "2026-03-21 07:18:02",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    },
    {
      "source": "survival-extrapolation.Rmd",
      "filename": "survival-extrapolation.html",
      "title": "Survival Extrapolation from Published Curves",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The Problem",
        "Method 1: Exponential (From Median Survival)",
        "When to Use",
        "The Scenario  --  Metastatic Colorectal Cancer",
        "Worked Example",
        "Method 2: Weibull (From Two KM Points)",
        "The Scenario  --  NSCLC (CheckMate 017)",
        "The Formula",
        "Interpretation",
        "Generating Markov Trace",
        "References"
      ],
      "created": "2026-03-21 00:24:12",
      "modified": "2026-03-21 07:28:07",
      "commits": 2
    }
  ],
  "_score": 5.690196080028514,
  "_indexed": true,
  "_nocasepkg": "parcc",
  "_universes": [
    "drpakhare"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.4.1",
      "date": "2026-10-29T07:28:59.000Z",
      "distro": "resolute",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/26f2f9e41f6c915db9f43344585f2299dc817f065924ff3c0f6069506a9f8a0f",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.4.1",
      "date": "2026-10-28T06:10:34.000Z",
      "distro": "resolute",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/2fb500d8d6be49c007f320d2be1a856da78f1ce508ca8971379707693c797b8d",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.4.1",
      "date": "2026-10-28T06:11:43.000Z",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/0334a727ed424860a9090bf86474dc52b315812217481f4fff344be13a97ee67",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.4.1",
      "date": "2026-10-28T06:11:46.000Z",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/7cd9cc41013945d04a7e0368b70d162a8dce9e0dd512af83057e0aa913fc2cf1",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.4.1",
      "date": "2026-10-28T06:10:34.000Z",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/b22a2ba731e900f2a2c9b630a57c47a0bd79922c0c04ce28e0fc7cf353388c45",
      "status": "success",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.4.1",
      "date": "2026-10-28T06:09:45.000Z",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/539b48f85600f9dfaa4e09eafefd3678a9b669f585bc6be5e8c0c58350511ef5",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.4.1",
      "date": "2026-10-28T06:09:51.000Z",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/be3d3f96e49a2e89dc7cab48582da4b0048f8220c4a19ca1aeb9d23d4d13be6a",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.4.1",
      "date": "2026-10-28T06:09:46.000Z",
      "commit": "df68d304b6715459de074843b91744d0721c97d2",
      "fileid": "https://r2.ropensci.org/5cc9727e725d4ec2446cd81a3e65ce79a80025ec4530e621e758dbbbe5449538",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/drpakhare/actions/runs/40641719268"
    }
  ]
}