{
  "_id": "6a197c8bacfb0bcc41df6531",
  "Title": "Matching Adjusted Indirect Comparison",
  "Package": "maicplus",
  "Version": "0.1.2.9000",
  "Authors@R": "c(\nperson(\ngiven = \"Gregory\",\nfamily = \"Chen\",\nrole = c(\"aut\"),\nemail = \"xiangyi.gregory.chen@msd.com\"\n),\nperson(\ngiven = \"Michael\",\nfamily = \"Seo\",\nrole = c(\"aut\"),\nemail = \"michael.seo@roche.com\"\n),\nperson(\ngiven = \"Isaac\",\nfamily = \"Gravestock\",\nrole = c(\"aut\", \"cre\"),\nemail = \"isaac.gravestock@roche.com\"\n),\nperson(\ngiven = \"Miranta\",\nfamily = \"Antoniou\",\nrole = c(\"ctb\"),\nemail = \"miranta.antoniou@roche.com\"\n),\nperson(\ngiven = \"Chrysostomos\",\nfamily = \"Kalyvas\",\nrole = c(\"ctb\"),\nemail = \"chrysostomos.kal@gmail.com\"\n),\nperson(\"MSD, Inc.\", role = c(\"cph\", \"fnd\")),\nperson(\"F. Hoffmann-La Roche AG\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "Facilitates performing matching adjusted indirect\ncomparison (MAIC) analysis where the endpoint of interest is\neither time-to-event (e.g. overall survival) or binary (e.g.\nobjective tumor response). The method is described by\nSignorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>.",
  "License": "Apache License 2.0",
  "URL": "https://github.com/hta-pharma/maicplus/,\nhttps://hta-pharma.github.io/maicplus/",
  "BugReports": "https://github.com/hta-pharma/maicplus/issues",
  "VignetteBuilder": "knitr",
  "biocViews": "",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://hta-pharma.r-universe.dev",
  "Date/Publication": "2025-09-01 16:35:43 UTC",
  "RemoteUrl": "https://github.com/hta-pharma/maicplus",
  "RemoteRef": "HEAD",
  "RemoteSha": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 10:35:45 UTC",
    "User": "root"
  },
  "Author": "Gregory Chen [aut],\nMichael Seo [aut],\nIsaac Gravestock [aut, cre],\nMiranta Antoniou [ctb],\nChrysostomos Kalyvas [ctb],\nMSD, Inc. [cph, fnd],\nF. Hoffmann-La Roche AG [cph, fnd]",
  "Maintainer": "Isaac Gravestock <isaac.gravestock@roche.com>",
  "MD5sum": "167aaccc07eefcd26543521f15b7fccb",
  "_user": "hta-pharma",
  "_type": "src",
  "_file": "maicplus_0.1.2.9000.tar.gz",
  "_fileid": "bafd7795c12cfe64b398fc667e2e57f190451479cf22b95f6abd3cd72a9140c5",
  "_filesize": 3255181,
  "_sha256": "bafd7795c12cfe64b398fc667e2e57f190451479cf22b95f6abd3cd72a9140c5",
  "_created": "2026-05-29T10:35:45.000Z",
  "_published": "2026-05-29T11:46:19.512Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 78484461943,
      "time": 211,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7288766766"
    },
    {
      "job": 78484461902,
      "time": 211,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7288766671"
    },
    {
      "job": 78484461898,
      "time": 202,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7289878691"
    },
    {
      "job": 78484461899,
      "time": 193,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7289882073"
    },
    {
      "job": 78483805896,
      "time": 284,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7288707967"
    },
    {
      "job": 78484461907,
      "time": 132,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7288745020"
    },
    {
      "job": 78484461909,
      "time": 172,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7288757287"
    },
    {
      "job": 78484461949,
      "time": 185,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7288759849"
    },
    {
      "job": 78484461938,
      "time": 140,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7288747159"
    }
  ],
  "_buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/hta-pharma/maicplus",
  "_commit": {
    "id": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
    "author": "Michael Seo <swj8874@gmail.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #202 from hta-pharma/201-paper-work\n\nrev",
    "time": 1756744543
  },
  "_maintainer": {
    "name": "Isaac Gravestock",
    "email": "isaac.gravestock@roche.com",
    "login": "gravesti",
    "description": "Statistical Engineering @ Roche",
    "uuid": 83659704
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1",
      "role": "Depends"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "lubridate",
      "role": "Imports"
    },
    {
      "package": "matrixStats",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "boot",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "lmtest",
      "role": "Imports"
    },
    {
      "package": "sandwich",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 2.0",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "survminer",
      "role": "Suggests"
    },
    {
      "package": "flexsurv",
      "role": "Suggests"
    },
    {
      "package": "tibble",
      "role": "Suggests"
    },
    {
      "package": "vdiffr",
      "role": "Suggests"
    },
    {
      "package": "checkmate",
      "role": "Suggests"
    },
    {
      "package": "patchwork",
      "role": "Suggests"
    }
  ],
  "_owner": "hta-pharma",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-36",
      "n": 3
    }
  ],
  "_tags": [],
  "_stars": 8,
  "_contributors": [
    {
      "user": "mikejseo",
      "count": 102,
      "uuid": 9222274
    },
    {
      "user": "gravesti",
      "count": 73,
      "uuid": 83659704
    },
    {
      "user": "hoppanda",
      "count": 43,
      "uuid": 65814078
    },
    {
      "user": "miranta-antoniou-roche",
      "count": 12,
      "uuid": 85634224
    },
    {
      "user": "ckalyvas",
      "count": 1,
      "uuid": 66085334
    },
    {
      "user": "jinjliu",
      "count": 1,
      "uuid": 22690810
    }
  ],
  "_userbio": {
    "uuid": 124164149,
    "type": "organization",
    "name": "HTA Pharma",
    "description": "For open-source and high-quality R tools to be used in HTA and market access space of pharmaceutical and biotech"
  },
  "_downloads": {
    "count": 268,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/maicplus"
  },
  "_devurl": "https://github.com/hta-pharma/maicplus",
  "_pkgdown": "https://hta-pharma.github.io/maicplus/",
  "_searchresults": 37,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/maicplus.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/hta-pharma/maicplus",
  "_realowner": "hta-pharma",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2024-11-14"
    },
    {
      "version": "0.1.1",
      "date": "2024-11-22"
    },
    {
      "version": "0.1.2",
      "date": "2025-02-21"
    }
  ],
  "_exports": [
    "basic_kmplot",
    "basic_kmplot2",
    "bucher",
    "calculate_weights_legend",
    "center_ipd",
    "check_weights",
    "dummize_ipd",
    "estimate_weights",
    "find_SE_from_CI",
    "get_pseudo_ipd_binary",
    "get_time_as",
    "get_time_conversion",
    "glm_makeup",
    "kmplot",
    "kmplot2",
    "maic_anchored",
    "maic_forest_plot",
    "maic_unanchored",
    "medSurv_makeup",
    "ph_diagplot",
    "ph_diagplot_lch",
    "ph_diagplot_schoenfeld",
    "plot_weights_base",
    "plot_weights_ggplot",
    "process_agd",
    "set_time_conversion",
    "survfit_makeup"
  ],
  "_datasets": [
    {
      "name": "adrs_sat",
      "title": "Binary outcome data from single arm trial",
      "object": "adrs_sat",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AVAL",
        "PARAM",
        "RESPONSE"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "adrs_twt",
      "title": "Binary outcome data from two arm trial",
      "object": "adrs_twt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AVAL",
        "PARAM",
        "RESPONSE"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "adsl_sat",
      "title": "Patient data from single arm study",
      "object": "adsl_sat",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AGE",
        "SEX",
        "SMOKE",
        "ECOG0",
        "N_PR_THER",
        "SEX_MALE"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "adsl_twt",
      "title": "Patient data from two arm trial",
      "object": "adsl_twt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AGE",
        "SEX",
        "SMOKE",
        "ECOG0",
        "N_PR_THER",
        "SEX_MALE"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "adtte_sat",
      "title": "Survival data from single arm trial",
      "object": "adtte_sat",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AVAL",
        "AVALU",
        "PARAMCD",
        "PARAM",
        "CNSR",
        "TIME",
        "EVENT"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "adtte_twt",
      "title": "Survival data from two arm trial",
      "object": "adtte_twt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AVAL",
        "AVALU",
        "PARAMCD",
        "PARAM",
        "CNSR",
        "TIME",
        "EVENT"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "agd",
      "title": "Aggregate effect modifier data from published study",
      "object": "agd",
      "class": [
        "data.frame"
      ],
      "fields": [
        "STUDY",
        "ARM",
        "N",
        "AGE_MEAN",
        "AGE_MEDIAN",
        "AGE_SD",
        "SEX_MALE_COUNT",
        "ECOG0_COUNT",
        "SMOKE_COUNT",
        "N_PR_THER_MEDIAN"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "centered_ipd_sat",
      "title": "Centered patient data from single arm trial",
      "object": "centered_ipd_sat",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AGE",
        "SEX",
        "SMOKE",
        "ECOG0",
        "N_PR_THER",
        "SEX_MALE",
        "AGE_CENTERED",
        "AGE_MEDIAN_CENTERED",
        "AGE_SQUARED_CENTERED",
        "SEX_MALE_CENTERED",
        "ECOG0_CENTERED",
        "SMOKE_CENTERED",
        "N_PR_THER_MEDIAN_CENTERED"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "centered_ipd_twt",
      "title": "Centered patient data from two arm trial",
      "object": "centered_ipd_twt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARM",
        "AGE",
        "SEX",
        "SMOKE",
        "ECOG0",
        "N_PR_THER",
        "SEX_MALE",
        "AGE_CENTERED",
        "AGE_MEDIAN_CENTERED",
        "AGE_SQUARED_CENTERED",
        "SEX_MALE_CENTERED",
        "ECOG0_CENTERED",
        "SMOKE_CENTERED",
        "N_PR_THER_MEDIAN_CENTERED"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "pseudo_ipd_sat",
      "title": "Pseudo individual patient survival data from published study",
      "object": "pseudo_ipd_sat",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TIME",
        "EVENT",
        "ARM"
      ],
      "rows": 300,
      "table": true,
      "tojson": true
    },
    {
      "name": "pseudo_ipd_twt",
      "title": "Pseudo individual patient survival data from published two arm study",
      "object": "pseudo_ipd_twt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TIME",
        "EVENT",
        "ARM"
      ],
      "rows": 800,
      "table": true,
      "tojson": true
    },
    {
      "name": "weighted_sat",
      "title": "Weighted object for single arm trial data",
      "object": "weighted_sat",
      "class": [
        "maicplus_estimate_weights",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "weighted_twt",
      "title": "Weighted object for two arm trial data",
      "object": "weighted_twt",
      "class": [
        "maicplus_estimate_weights",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adrs_sat",
      "title": "Binary outcome data from single arm trial",
      "concept": [
        "unanchored datasets"
      ],
      "topics": [
        "adrs_sat"
      ]
    },
    {
      "page": "adrs_twt",
      "title": "Binary outcome data from two arm trial",
      "concept": [
        "anchored datasets"
      ],
      "topics": [
        "adrs_twt"
      ]
    },
    {
      "page": "adsl_sat",
      "title": "Patient data from single arm study",
      "concept": [
        "unanchored datasets"
      ],
      "topics": [
        "adsl_sat"
      ]
    },
    {
      "page": "adsl_twt",
      "title": "Patient data from two arm trial",
      "concept": [
        "anchored datasets"
      ],
      "topics": [
        "adsl_twt"
      ]
    },
    {
      "page": "adtte_sat",
      "title": "Survival data from single arm trial",
      "concept": [
        "unanchored datasets"
      ],
      "topics": [
        "adtte_sat"
      ]
    },
    {
      "page": "adtte_twt",
      "title": "Survival data from two arm trial",
      "concept": [
        "anchored datasets"
      ],
      "topics": [
        "adtte_twt"
      ]
    },
    {
      "page": "agd",
      "title": "Aggregate effect modifier data from published study",
      "concept": [
        "anchored datasets",
        "unanchored datasets"
      ],
      "topics": [
        "agd"
      ]
    },
    {
      "page": "basic_kmplot",
      "title": "Basic Kaplan Meier (KM) plot function",
      "topics": [
        "basic_kmplot"
      ]
    },
    {
      "page": "basic_kmplot2",
      "title": "Basic Kaplan Meier (KM) plot function using ggplot",
      "topics": [
        "basic_kmplot2"
      ]
    },
    {
      "page": "bucher",
      "title": "Bucher method for combining treatment effects",
      "topics": [
        "bucher",
        "print.maicplus_bucher"
      ]
    },
    {
      "page": "center_ipd",
      "title": "Center individual patient data (IPD) variables using aggregate data averages",
      "topics": [
        "center_ipd"
      ]
    },
    {
      "page": "centered_ipd_sat",
      "title": "Centered patient data from single arm trial",
      "concept": [
        "unanchored datasets"
      ],
      "topics": [
        "centered_ipd_sat"
      ]
    },
    {
      "page": "centered_ipd_twt",
      "title": "Centered patient data from two arm trial",
      "concept": [
        "anchored datasets"
      ],
      "topics": [
        "centered_ipd_twt"
      ]
    },
    {
      "page": "check_weights",
      "title": "Check to see if weights are optimized correctly",
      "topics": [
        "check_weights",
        "print.maicplus_check_weights"
      ]
    },
    {
      "page": "dummize_ipd",
      "title": "Create dummy variables from categorical variables in an individual patient data (ipd)",
      "topics": [
        "dummize_ipd"
      ]
    },
    {
      "page": "estimate_weights",
      "title": "Derive individual weights in the matching step of MAIC",
      "topics": [
        "estimate_weights",
        "plot.maicplus_estimate_weights"
      ]
    },
    {
      "page": "find_SE_from_CI",
      "title": "Calculate standard error from the reported confidence interval.",
      "topics": [
        "find_SE_from_CI"
      ]
    },
    {
      "page": "get_pseudo_ipd_binary",
      "title": "Create pseudo IPD given aggregated binary data",
      "topics": [
        "get_pseudo_ipd_binary"
      ]
    },
    {
      "page": "get_time_as",
      "title": "Convert Time Values Using Scaling Factors",
      "topics": [
        "get_time_as"
      ]
    },
    {
      "page": "glm_makeup",
      "title": "Helper function to summarize outputs from glm fit",
      "topics": [
        "glm_makeup"
      ]
    },
    {
      "page": "kmplot",
      "title": "Kaplan Meier (KM) plot function for anchored and unanchored cases",
      "topics": [
        "kmplot"
      ]
    },
    {
      "page": "kmplot2",
      "title": "Kaplan-Meier (KM) plot function for anchored and unanchored cases using ggplot",
      "topics": [
        "kmplot2"
      ]
    },
    {
      "page": "maic_anchored",
      "title": "Anchored MAIC for binary and time-to-event endpoint",
      "topics": [
        "maic_anchored"
      ]
    },
    {
      "page": "maic_forest_plot",
      "title": "Forest Plot for One or More MAIC Objects",
      "topics": [
        "maic_forest_plot"
      ]
    },
    {
      "page": "maic_unanchored",
      "title": "Unanchored MAIC for binary and time-to-event endpoint",
      "topics": [
        "maic_unanchored"
      ]
    },
    {
      "page": "medSurv_makeup",
      "title": "Helper function to retrieve median survival time from a 'survival::survfit' object",
      "topics": [
        "medSurv_makeup"
      ]
    },
    {
      "page": "ph_diagplot",
      "title": "Diagnosis plot of proportional hazard assumption for anchored and unanchored",
      "topics": [
        "ph_diagplot"
      ]
    },
    {
      "page": "ph_diagplot_lch",
      "title": "PH Diagnosis Plot of Log Cumulative Hazard Rate versus time or log-time",
      "topics": [
        "ph_diagplot_lch"
      ]
    },
    {
      "page": "ph_diagplot_schoenfeld",
      "title": "PH Diagnosis Plot of Schoenfeld residuals for a Cox model fit",
      "topics": [
        "ph_diagplot_schoenfeld"
      ]
    },
    {
      "page": "plot_weights_base",
      "title": "Plot MAIC weights in a histogram with key statistics in legend",
      "topics": [
        "plot_weights_base"
      ]
    },
    {
      "page": "plot_weights_ggplot",
      "title": "Plot MAIC weights in a histogram with key statistics in legend using 'ggplot2'",
      "topics": [
        "plot_weights_ggplot"
      ]
    },
    {
      "page": "process_agd",
      "title": "Pre-process aggregate data",
      "topics": [
        "process_agd"
      ]
    },
    {
      "page": "pseudo_ipd_sat",
      "title": "Pseudo individual patient survival data from published study",
      "concept": [
        "unanchored datasets"
      ],
      "topics": [
        "pseudo_ipd_sat"
      ]
    },
    {
      "page": "pseudo_ipd_twt",
      "title": "Pseudo individual patient survival data from published two arm study",
      "concept": [
        "anchored datasets"
      ],
      "topics": [
        "pseudo_ipd_twt"
      ]
    },
    {
      "page": "time_conversion",
      "title": "Get and Set Time Conversion Factors",
      "topics": [
        "get_time_conversion",
        "set_time_conversion"
      ]
    },
    {
      "page": "survfit_makeup",
      "title": "Helper function to select set of variables used for Kaplan-Meier plot",
      "topics": [
        "survfit_makeup"
      ]
    },
    {
      "page": "weighted_sat",
      "title": "Weighted object for single arm trial data",
      "concept": [
        "unanchored datasets"
      ],
      "topics": [
        "weighted_sat"
      ]
    },
    {
      "page": "weighted_twt",
      "title": "Weighted object for two arm trial data",
      "concept": [
        "anchored datasets"
      ],
      "topics": [
        "weighted_twt"
      ]
    }
  ],
  "_pkglogo": "https://github.com/hta-pharma/maicplus/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/hta-pharma/maicplus/raw/HEAD/README.md",
  "_rundeps": [
    "boot",
    "cli",
    "cpp11",
    "generics",
    "glue",
    "lattice",
    "lifecycle",
    "lmtest",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "matrixStats",
    "rlang",
    "sandwich",
    "stringi",
    "stringr",
    "survival",
    "timechange",
    "vctrs",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "anchored_binary.Rmd",
      "filename": "anchored_binary.html",
      "title": "Anchored Binary Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Illustration using example data",
        "Using bootstrap to calculate standard errors"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2025-02-13 17:04:52",
      "commits": 3
    },
    {
      "source": "anchored_survival.Rmd",
      "filename": "anchored_survival.html",
      "title": "Anchored Survival Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Illustration using example data",
        "Using bootstrap to calculate standard errors",
        "Visualizing effect estimates with forest plot"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2025-09-01 14:49:39",
      "commits": 3
    },
    {
      "source": "introduction.Rmd",
      "filename": "introduction.html",
      "title": "Introduction",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Statistical theory behind MAIC",
        "References"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2024-10-03 16:05:39",
      "commits": 1
    },
    {
      "source": "kaplan_meier_plots.Rmd",
      "filename": "kaplan_meier_plots.html",
      "title": "Kaplan-Meier Plots",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Introduction",
        "Unanchored case",
        "Anchored case",
        "References"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2024-10-11 14:50:43",
      "commits": 2
    },
    {
      "source": "calculating_weights.Rmd",
      "filename": "calculating_weights.html",
      "title": "Preprocessing and Calculating Weights",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Preprocessing",
        "Preprocessing IPD",
        "Preprocessing aggregate data",
        "How _SD prefix is handled",
        "How _MEDIAN prefix is handled",
        "Centering IPD",
        "Calculating weights",
        "References"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2024-10-08 14:12:32",
      "commits": 2
    },
    {
      "source": "testing_ph_assumptions.Rmd",
      "filename": "testing_ph_assumptions.html",
      "title": "Testing PH assumptions",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Introduction",
        "Unanchored case",
        "Anchored case"
      ],
      "created": "2025-05-23 14:20:13",
      "modified": "2025-09-01 14:49:39",
      "commits": 2
    },
    {
      "source": "unanchored_binary.Rmd",
      "filename": "unanchored_binary.html",
      "title": "Unanchored Binary Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Illustration using example data",
        "Using bootstrap to calculate standard errors",
        "References"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2024-12-18 15:25:01",
      "commits": 3
    },
    {
      "source": "unanchored_survival.Rmd",
      "filename": "unanchored_survival.html",
      "title": "Unanchored Survival Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Loading R packages",
        "Illustration using example data",
        "Using bootstrap to calculate standard errors",
        "Visualizing effect estimates with forest plot",
        "References"
      ],
      "created": "2024-10-03 16:05:39",
      "modified": "2025-09-01 14:49:39",
      "commits": 3
    }
  ],
  "_score": 6.77232170672292,
  "_indexed": true,
  "_nocasepkg": "maicplus",
  "_universes": [
    "hta-pharma",
    "gravesti"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.2.9000",
      "date": "2026-05-29T10:38:33.000Z",
      "distro": "noble",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "6af6fcff61874e46a86032186808ebed098f65406d745180bd6c4489d0e7085e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.2.9000",
      "date": "2026-05-29T10:38:34.000Z",
      "distro": "noble",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "a772cb82daa585a0a1b76fdc1b0bc7f6b99173cbdfcb699e204edde2d247bf0d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.2.9000",
      "date": "2026-05-29T11:44:29.000Z",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "1705ee6b8857aa47c4b352a8ec9bd19669b4fc2c8e8356814244fe0e736dc5e3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.2.9000",
      "date": "2026-05-29T11:44:31.000Z",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "ea6ad77350be3a93c029df4b8bccf34e85e6630b7aed0c84cbcbc1f01e74a861",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.2.9000",
      "date": "2026-05-29T10:38:23.000Z",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "40d31d8c2f2d3f090a4c5cd1c5c31ae4302f1fb406eaac12f3a5870cdffc4d57",
      "status": "success",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.2.9000",
      "date": "2026-05-29T10:37:56.000Z",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "2534b698190d43f531e44339263e5c2b68aeaf72e9c0a96133f7db87ddbc775e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.2.9000",
      "date": "2026-05-29T10:37:48.000Z",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "4e91a6aa6b12f827449abb0b62e5301b88791411d7825078cd2756c591f9bbcb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.2.9000",
      "date": "2026-05-29T10:37:19.000Z",
      "commit": "e09b702ccf5573c6e44ade4bfdf021a45e8adbce",
      "fileid": "4d75e79e81b26b2a6d8015bb8b5876902b6c01494790b0f1b32396140ef09062",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/hta-pharma/actions/runs/26632256403"
    }
  ]
}