{
  "_id": "6a1fee30b401979e7344121e",
  "Package": "MBNMAdose",
  "Type": "Package",
  "Title": "Dose-Response MBNMA Models",
  "Version": "0.5.0",
  "Language": "en-GB",
  "Date": "2025-02-06",
  "Authors@R": "c(person(\"Hugo\", \"Pedder\", \nemail = \"hugopedder@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7813-3749\")),\nperson(\"Adil\", \"Karim\", role = c(\"ctb\")))",
  "URL": "https://hugaped.github.io/MBNMAdose/",
  "Maintainer": "Hugo Pedder <hugopedder@gmail.com>",
  "Description": "Fits Bayesian dose-response model-based network\nmeta-analysis (MBNMA) that incorporate multiple doses within an\nagent by modelling different dose-response functions, as\ndescribed by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>.\nBy modelling dose-response relationships this can connect\nnetworks of evidence that might otherwise be disconnected, and\ncan improve precision on treatment estimates. Several common\ndose-response functions are provided; others may be added by\nthe user. Various characteristics and assumptions can be\nflexibly added to the models, such as shared class effects. The\nconsistency of direct and indirect evidence in the network can\nbe assessed using unrelated mean effects models and/or by\nnode-splitting at the treatment level.",
  "License": "GPL-3",
  "SystemRequirements": "JAGS (>= 4.3.0)\n(https://mcmc-jags.sourceforge.net/)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.2.3",
  "Roxygen": "list(markdown = TRUE)",
  "RdMacros": "Rdpack",
  "Config/pak/sysreqs": "libglpk-dev jags libicu-dev libxml2-dev",
  "Repository": "https://hugaped.r-universe.dev",
  "Date/Publication": "2025-05-22 14:34:16 UTC",
  "RemoteUrl": "https://github.com/hugaped/mbnmadose",
  "RemoteRef": "HEAD",
  "RemoteSha": "cc415a218fc119db71e857fd11a525852af76a89",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-03 09:00:20 UTC",
    "User": "root"
  },
  "Author": "Hugo Pedder [aut, cre] (ORCID: <https://orcid.org/0000-0002-7813-3749>),\nAdil Karim [ctb]",
  "MD5sum": "2805673e0126769291847e0fa7f7fab6",
  "_user": "hugaped",
  "_type": "src",
  "_file": "MBNMAdose_0.5.0.tar.gz",
  "_fileid": "c124fe588475608d11b297e8003b7eba2cb83abcba1c92ad7468f33f46d819fd",
  "_filesize": 3023508,
  "_sha256": "c124fe588475608d11b297e8003b7eba2cb83abcba1c92ad7468f33f46d819fd",
  "_created": "2026-06-03T09:00:20.000Z",
  "_published": "2026-06-03T09:04:48.316Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79258430099,
      "time": 166,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "ERROR",
      "artifact": "7380192077"
    },
    {
      "job": 79258429951,
      "time": 176,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7380194643"
    },
    {
      "job": 79258429935,
      "time": 111,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "ERROR",
      "artifact": "7380174329"
    },
    {
      "job": 79258429784,
      "time": 135,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7380183291"
    },
    {
      "job": 79257228015,
      "time": 415,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7380132199"
    },
    {
      "job": 79258430041,
      "time": 156,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7380188928"
    },
    {
      "job": 79258429708,
      "time": 111,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "ERROR",
      "artifact": "7380172826"
    },
    {
      "job": 79258429721,
      "time": 116,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "ERROR",
      "artifact": "7380174608"
    },
    {
      "job": 79258430805,
      "time": 180,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7380196461"
    }
  ],
  "_buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/hugaped/mbnmadose",
  "_commit": {
    "id": "cc415a218fc119db71e857fd11a525852af76a89",
    "author": "hugaped <hugo.pedder@bristol.ac.uk>",
    "committer": "hugaped <hugo.pedder@bristol.ac.uk>",
    "message": "Update to github actions\n",
    "time": 1747924456
  },
  "_maintainer": {
    "name": "Hugo Pedder",
    "email": "hugopedder@gmail.com",
    "login": "hugaped",
    "orcid": "0000-0002-7813-3749",
    "description": "",
    "uuid": 32274050
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.0.2",
      "role": "Depends"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 0.7.4",
      "role": "Imports"
    },
    {
      "package": "R2jags",
      "version": ">= 0.5-7",
      "role": "Imports"
    },
    {
      "package": "rjags",
      "version": ">= 4-8",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "version": ">= 1.5",
      "role": "Imports"
    },
    {
      "package": "checkmate",
      "version": ">= 1.8.5",
      "role": "Imports"
    },
    {
      "package": "Rdpack",
      "version": ">= 0.11-0",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "version": ">= 2.0.1.1",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 2.2.1",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "version": ">= 1.4.3",
      "role": "Imports"
    },
    {
      "package": "overlapping",
      "version": ">= 1.5.0",
      "role": "Suggests"
    },
    {
      "package": "RColorBrewer",
      "version": ">= 1.1-2",
      "role": "Suggests"
    },
    {
      "package": "mcmcplots",
      "version": ">= 0.4.3",
      "role": "Suggests"
    },
    {
      "package": "coda",
      "version": ">= 0.19-4",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 1.0.2",
      "role": "Suggests"
    },
    {
      "package": "crayon",
      "version": ">= 1.3.4",
      "role": "Suggests"
    },
    {
      "package": "forestplot",
      "version": ">= 1.10",
      "role": "Suggests"
    },
    {
      "package": "ggdist",
      "version": ">= 2.4.0",
      "role": "Suggests"
    },
    {
      "package": "zoo",
      "version": ">= 1.8-8",
      "role": "Suggests"
    },
    {
      "package": "lspline",
      "version": ">= 1.0-0",
      "role": "Suggests"
    },
    {
      "package": "formatR",
      "version": ">= 1.14",
      "role": "Suggests"
    },
    {
      "package": "netmeta",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "hugaped",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 11,
  "_contributors": [
    {
      "user": "hugaped",
      "count": 798,
      "uuid": 32274050
    }
  ],
  "_userbio": {
    "uuid": 32274050,
    "type": "user",
    "name": "Hugo Pedder"
  },
  "_downloads": {
    "count": 316,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MBNMAdose"
  },
  "_mentions": 2,
  "_devurl": "https://github.com/hugaped/mbnmadose",
  "_pkgdown": "https://hugaped.github.io/MBNMAdose/",
  "_searchresults": 51,
  "_topics": [
    "jags",
    "cpp"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/MBNMAdose.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/hugaped/mbnmadose",
  "_realowner": "hugaped",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.2.2",
      "date": "2019-07-23"
    },
    {
      "version": "0.2.3",
      "date": "2019-07-25"
    },
    {
      "version": "0.2.4",
      "date": "2019-10-08"
    },
    {
      "version": "0.2.6",
      "date": "2020-02-15"
    },
    {
      "version": "0.2.7",
      "date": "2020-03-02"
    },
    {
      "version": "0.3.0",
      "date": "2020-09-10"
    },
    {
      "version": "0.4.1",
      "date": "2022-02-24"
    },
    {
      "version": "0.4.2",
      "date": "2023-08-08"
    },
    {
      "version": "0.4.3",
      "date": "2024-04-18"
    },
    {
      "version": "0.5.0",
      "date": "2025-02-07"
    }
  ],
  "_exports": [
    "%>%",
    "calc.edx",
    "cumrank",
    "default.priors",
    "demax",
    "devdev",
    "devplot",
    "dexp",
    "dfpoly",
    "ditp",
    "dloglin",
    "dmulti",
    "dnonparam",
    "dpoly",
    "drop.disconnected",
    "dspline",
    "duser",
    "fitplot",
    "genspline",
    "get.prior",
    "get.relative",
    "getjagsdata",
    "inconsistency.loops",
    "mbnma.comparisons",
    "mbnma.network",
    "mbnma.nodesplit",
    "mbnma.run",
    "mbnma.update",
    "mbnma.write",
    "nma.nodesplit",
    "nma.run",
    "norm2lnorm",
    "pDcalc",
    "rank",
    "ref.synth",
    "rescale.link"
  ],
  "_datasets": [
    {
      "name": "alog_pcfb",
      "title": "Studies of alogliptin for lowering blood glucose concentration in patients with type II diabetes",
      "object": "alog_pcfb",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "studyID",
        "agent",
        "dose",
        "y",
        "se",
        "n"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    },
    {
      "name": "gout",
      "title": "Studies of treatments for Serum Uric Acid reduction in patients with gout",
      "object": "gout",
      "class": [
        "data.frame"
      ],
      "fields": [
        "studyID",
        "y",
        "se",
        "agent",
        "dose"
      ],
      "rows": 27,
      "table": true,
      "tojson": true
    },
    {
      "name": "osteopain",
      "title": "Studies of treatments for pain relief in patients with osteoarthritis",
      "object": "osteopain",
      "class": [
        "data.frame"
      ],
      "fields": [
        "studyID",
        "agent",
        "dose",
        "class",
        "y",
        "se",
        "n"
      ],
      "rows": 74,
      "table": true,
      "tojson": true
    },
    {
      "name": "psoriasis100",
      "title": "Studies of biologics for treatment of moderate-to-severe psoriasis (100% improvement)",
      "object": "psoriasis100",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "studyID",
        "agent",
        "dose_mg",
        "freq",
        "dose",
        "n",
        "r"
      ],
      "rows": 57,
      "table": true,
      "tojson": true
    },
    {
      "name": "psoriasis75",
      "title": "Studies of biologics for treatment of moderate-to-severe psoriasis (>=75% improvement)",
      "object": "psoriasis75",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "studyID",
        "agent",
        "dose_mg",
        "freq",
        "dose",
        "n",
        "r"
      ],
      "rows": 81,
      "table": true,
      "tojson": true
    },
    {
      "name": "psoriasis90",
      "title": "Studies of biologics for treatment of moderate-to-severe psoriasis (>=90% improvement)",
      "object": "psoriasis90",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "studyID",
        "agent",
        "dose_mg",
        "freq",
        "dose",
        "n",
        "r"
      ],
      "rows": 71,
      "table": true,
      "tojson": true
    },
    {
      "name": "ssi_closure",
      "title": "Studies of wound closure methods to reduce Surgical Site Infections (SSI)",
      "object": "ssi_closure",
      "class": [
        "data.frame"
      ],
      "fields": [
        "studyID",
        "Year",
        "r",
        "n",
        "trt",
        "class"
      ],
      "rows": 217,
      "table": true,
      "tojson": true
    },
    {
      "name": "ssri",
      "title": "Studies of Selective Serotonin Reuptake Inhibitors (SSRIs) for major depression",
      "object": "ssri",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "studyID",
        "bias",
        "age",
        "weeks",
        "agent",
        "dose",
        "n",
        "r"
      ],
      "rows": 145,
      "table": true,
      "tojson": true
    },
    {
      "name": "triptans",
      "title": "Studies of triptans for headache pain relief",
      "object": "triptans",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "studyID",
        "AuthorYear",
        "n",
        "r",
        "dose",
        "agent"
      ],
      "rows": 182,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_index",
      "title": "Add arm indices and agent identifiers to a dataset",
      "topics": [
        "add_index"
      ]
    },
    {
      "page": "alog_pcfb",
      "title": "Studies of alogliptin for lowering blood glucose concentration in patients with type II diabetes",
      "topics": [
        "alog_pcfb"
      ]
    },
    {
      "page": "calc.edx",
      "title": "Calculates values for EDx from an Emax model, the dose at which x% of the maximal response (Emax) is reached",
      "topics": [
        "calc.edx"
      ]
    },
    {
      "page": "check.network",
      "title": "Check if all nodes in the network are connected (identical to function in 'MBNMAtime')",
      "topics": [
        "check.network"
      ]
    },
    {
      "page": "cumrank",
      "title": "Plot cumulative ranking curves from MBNMA models",
      "topics": [
        "cumrank"
      ]
    },
    {
      "page": "default.priors",
      "title": "Sets default priors for JAGS model code",
      "topics": [
        "default.priors"
      ]
    },
    {
      "page": "demax",
      "title": "Emax dose-response function",
      "topics": [
        "demax"
      ]
    },
    {
      "page": "devdev",
      "title": "Dev-dev plot for comparing deviance contributions from two models",
      "topics": [
        "devdev"
      ]
    },
    {
      "page": "devplot",
      "title": "Plot deviance contributions from an MBNMA model",
      "topics": [
        "devplot"
      ]
    },
    {
      "page": "dexp",
      "title": "Exponential dose-response function",
      "topics": [
        "dexp"
      ]
    },
    {
      "page": "dfpoly",
      "title": "Fractional polynomial dose-response function",
      "topics": [
        "dfpoly"
      ]
    },
    {
      "page": "ditp",
      "title": "Integrated Two-Component Prediction (ITP) function",
      "topics": [
        "ditp"
      ]
    },
    {
      "page": "dloglin",
      "title": "Log-linear (exponential) dose-response function",
      "topics": [
        "dloglin"
      ]
    },
    {
      "page": "dmulti",
      "title": "Agent-specific dose-response function",
      "topics": [
        "dmulti"
      ]
    },
    {
      "page": "dnonparam",
      "title": "Non-parameteric dose-response functions",
      "topics": [
        "dnonparam"
      ]
    },
    {
      "page": "dpoly",
      "title": "Polynomial dose-response function",
      "topics": [
        "dpoly"
      ]
    },
    {
      "page": "DR.comparisons",
      "title": "Adds placebo comparisons for dose-response relationship",
      "topics": [
        "DR.comparisons"
      ]
    },
    {
      "page": "drop.comp",
      "title": "Drop treatments from multi-arm (>2) studies for node-splitting",
      "topics": [
        "drop.comp"
      ]
    },
    {
      "page": "drop.disconnected",
      "title": "Drop studies that are not connected to the network reference treatment",
      "topics": [
        "drop.disconnected"
      ]
    },
    {
      "page": "dspline",
      "title": "Spline dose-response functions",
      "topics": [
        "dspline"
      ]
    },
    {
      "page": "duser",
      "title": "User-defined dose-response function",
      "topics": [
        "duser"
      ]
    },
    {
      "page": "fitplot",
      "title": "Plot fitted values from MBNMA model",
      "topics": [
        "fitplot"
      ]
    },
    {
      "page": "gen.parameters.to.save",
      "title": "Automatically generate parameters to save for a dose-response MBNMA model",
      "topics": [
        "gen.parameters.to.save"
      ]
    },
    {
      "page": "genspline",
      "title": "Generates spline basis matrices for fitting to dose-response function",
      "topics": [
        "genspline"
      ]
    },
    {
      "page": "get.prior",
      "title": "Get current priors from JAGS model code",
      "topics": [
        "get.prior"
      ]
    },
    {
      "page": "get.relative",
      "title": "Calculates league table of effects between treatments in MBNMA and/or NMA models",
      "topics": [
        "get.relative"
      ]
    },
    {
      "page": "getjagsdata",
      "title": "Prepares data for JAGS",
      "topics": [
        "getjagsdata"
      ]
    },
    {
      "page": "gout",
      "title": "Studies of treatments for Serum Uric Acid reduction in patients with gout",
      "topics": [
        "gout"
      ]
    },
    {
      "page": "inconsistency.loops",
      "title": "Identify comparisons in loops that fulfill criteria for node-splitting",
      "topics": [
        "inconsistency.loops"
      ]
    },
    {
      "page": "mbnma.comparisons",
      "title": "Identify unique comparisons within a network",
      "topics": [
        "mbnma.comparisons"
      ]
    },
    {
      "page": "mbnma.nodesplit",
      "title": "Node-splitting model for testing consistency at the treatment level using MBNMA",
      "topics": [
        "mbnma.nodesplit",
        "plot.nodesplit"
      ]
    },
    {
      "page": "mbnma.run",
      "title": "Run MBNMA dose-response models",
      "topics": [
        "mbnma.run"
      ]
    },
    {
      "page": "mbnma.update",
      "title": "Update MBNMA to monitor deviance nodes in the model",
      "topics": [
        "mbnma.update"
      ]
    },
    {
      "page": "mbnma.validate.data",
      "title": "Validates that a dataset fulfills requirements for MBNMA",
      "topics": [
        "mbnma.validate.data"
      ]
    },
    {
      "page": "mbnma.write",
      "title": "Write MBNMA dose-response model JAGS code",
      "topics": [
        "mbnma.write"
      ]
    },
    {
      "page": "nma.nodesplit",
      "title": "Node-splitting model for testing consistency at the treatment-level",
      "topics": [
        "nma.nodesplit",
        "plot.nma.nodesplit"
      ]
    },
    {
      "page": "norm2lnorm",
      "title": "Convert normal distribution parameters to corresponding log-normal distribution parameters",
      "topics": [
        "norm2lnorm"
      ]
    },
    {
      "page": "osteopain",
      "title": "Studies of treatments for pain relief in patients with osteoarthritis",
      "topics": [
        "osteopain"
      ]
    },
    {
      "page": "pDcalc",
      "title": "Calculate plugin pD from a JAGS model with univariate likelihood for studies with repeated measurements",
      "topics": [
        "pDcalc"
      ]
    },
    {
      "page": "plot.mbnma",
      "title": "Forest plot for results from dose-response MBNMA models",
      "topics": [
        "plot.mbnma"
      ]
    },
    {
      "page": "mbnma.network",
      "title": "Create an mbnma.network object",
      "topics": [
        "mbnma.network",
        "plot.mbnma.network"
      ]
    },
    {
      "page": "plot.mbnma.predict",
      "title": "Plots predicted responses from a dose-response MBNMA model",
      "topics": [
        "plot.mbnma.predict"
      ]
    },
    {
      "page": "plot.mbnma.rank",
      "title": "Plot histograms of rankings from MBNMA models",
      "topics": [
        "plot.mbnma.rank"
      ]
    },
    {
      "page": "nma.run",
      "title": "Run an NMA model",
      "topics": [
        "nma.run",
        "plot.nma"
      ]
    },
    {
      "page": "predict.mbnma",
      "title": "Predict responses for different doses of agents in a given population based on MBNMA dose-response models",
      "topics": [
        "predict.mbnma"
      ]
    },
    {
      "page": "print.mbnma.network",
      "title": "Print mbnma.network information to the console",
      "topics": [
        "print.mbnma.network"
      ]
    },
    {
      "page": "print.mbnma.predict",
      "title": "Print summary information from an mbnma.predict object",
      "topics": [
        "print.mbnma.predict"
      ]
    },
    {
      "page": "print.mbnma.rank",
      "title": "Prints summary information about an mbnma.rank object",
      "topics": [
        "print.mbnma.rank"
      ]
    },
    {
      "page": "print.nma.nodesplit",
      "title": "Prints summary results from an nma.nodesplit object",
      "topics": [
        "print.nma.nodesplit"
      ]
    },
    {
      "page": "print.nodesplit",
      "title": "Prints summary results from a nodesplit object",
      "topics": [
        "print.nodesplit"
      ]
    },
    {
      "page": "print.relative.array",
      "title": "Print posterior medians (95% credible intervals) for table of relative effects/mean differences between treatments/classes",
      "topics": [
        "print.relative.array"
      ]
    },
    {
      "page": "psoriasis100",
      "title": "Studies of biologics for treatment of moderate-to-severe psoriasis (100% improvement)",
      "topics": [
        "psoriasis100"
      ]
    },
    {
      "page": "psoriasis75",
      "title": "Studies of biologics for treatment of moderate-to-severe psoriasis (>=75% improvement)",
      "topics": [
        "psoriasis75"
      ]
    },
    {
      "page": "psoriasis90",
      "title": "Studies of biologics for treatment of moderate-to-severe psoriasis (>=90% improvement)",
      "topics": [
        "psoriasis90"
      ]
    },
    {
      "page": "rank",
      "title": "Set rank as a method",
      "topics": [
        "rank"
      ]
    },
    {
      "page": "rank.mbnma",
      "title": "Rank parameter estimates",
      "topics": [
        "rank.mbnma"
      ]
    },
    {
      "page": "rank.mbnma.predict",
      "title": "Rank predicted doses of different agents",
      "topics": [
        "rank.mbnma.predict"
      ]
    },
    {
      "page": "rank.relative.array",
      "title": "Rank relative effects obtained between specific doses",
      "topics": [
        "rank.relative.array"
      ]
    },
    {
      "page": "recode.agent",
      "title": "Assigns agent or class variables numeric identifiers",
      "topics": [
        "recode.agent"
      ]
    },
    {
      "page": "ref.synth",
      "title": "Synthesise single arm dose = 0 / placebo studies to estimate E0",
      "topics": [
        "ref.synth"
      ]
    },
    {
      "page": "rescale.link",
      "title": "Rescale data depending on the link function provided",
      "topics": [
        "rescale.link"
      ]
    },
    {
      "page": "ssi_closure",
      "title": "Studies of wound closure methods to reduce Surgical Site Infections (SSI)",
      "topics": [
        "ssi_closure"
      ]
    },
    {
      "page": "ssri",
      "title": "Studies of Selective Serotonin Reuptake Inhibitors (SSRIs) for major depression",
      "topics": [
        "ssri"
      ]
    },
    {
      "page": "summary.mbnma",
      "title": "Print summary of MBNMA results to the console",
      "topics": [
        "summary.mbnma"
      ]
    },
    {
      "page": "summary.mbnma.network",
      "title": "Print summary mbnma.network information to the console",
      "topics": [
        "summary.mbnma.network"
      ]
    },
    {
      "page": "summary.mbnma.predict",
      "title": "Produces a summary data frame from an mbnma.predict object",
      "topics": [
        "summary.mbnma.predict"
      ]
    },
    {
      "page": "summary.mbnma.rank",
      "title": "Generates summary data frames for an mbnma.rank object",
      "topics": [
        "summary.mbnma.rank"
      ]
    },
    {
      "page": "summary.nma.nodesplit",
      "title": "Generates a summary data frame for nma.nodesplit objects",
      "topics": [
        "summary.nma.nodesplit"
      ]
    },
    {
      "page": "summary.nodesplit",
      "title": "Generates a summary data frame for nodesplit objects",
      "topics": [
        "summary.nodesplit"
      ]
    },
    {
      "page": "triptans",
      "title": "Studies of triptans for headache pain relief",
      "topics": [
        "triptans"
      ]
    }
  ],
  "_readme": "https://github.com/hugaped/mbnmadose/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "boot",
    "checkmate",
    "cli",
    "coda",
    "cpp11",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "igraph",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "pillar",
    "pkgconfig",
    "plyr",
    "R2jags",
    "R2WinBUGS",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "Rdpack",
    "reshape2",
    "rjags",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libjags",
      "package": "jags",
      "headers": "jags",
      "source": "jags",
      "version": "4.3.2-2.2404.0",
      "name": "jags",
      "homepage": "https://mcmc-jags.sourceforge.io",
      "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler.  It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary."
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "nma_in_mbnmadose.Rmd",
      "filename": "nma_in_mbnmadose.html",
      "title": "Class effect NMA analysis using MBNMAdose",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Performing standard NMA using mbnma.run()",
        "Benefits of using mbnma.run() for standard NMA models"
      ],
      "created": "2023-07-20 11:53:01",
      "modified": "2025-02-03 17:13:22",
      "commits": 8
    },
    {
      "source": "outputs-4.Rmd",
      "filename": "outputs-4.html",
      "title": "MBNMAdose outputs: Relative effects, forest plots and rankings",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Estimating relative effects",
        "Forest plots",
        "Ranking",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2025-02-03 17:13:22",
      "commits": 4
    },
    {
      "source": "predictions-5.Rmd",
      "filename": "predictions-5.html",
      "title": "MBNMAdose: Calculating model predictions",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Prediction",
        "Plotting predictions",
        "Ranking predicted responses",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2025-02-03 17:13:22",
      "commits": 4
    },
    {
      "source": "consistencychecking-3.Rmd",
      "filename": "consistencychecking-3.html",
      "title": "MBNMAdose: Checking for consistency",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Consistency Testing",
        "Unrelated Mean Effects (UME) model at the treatment level",
        "Node-splitting at the treatment level",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2025-02-03 17:13:22",
      "commits": 4
    },
    {
      "source": "dataexploration-1.Rmd",
      "filename": "dataexploration-1.html",
      "title": "MBNMAdose: Exploring the data",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Exploring the data",
        "Examining network connectivity",
        "Examining the dose-response relationship",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2025-02-03 17:13:22",
      "commits": 4
    },
    {
      "source": "mbnmadose-overview.Rmd",
      "filename": "mbnmadose-overview.html",
      "title": "MBNMAdose: Package Overview",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Workflow within the package",
        "Datasets Included in the Package",
        "Triptans for migraine pain relief",
        "Biologics for treatment of moderate-to-severe psoriasis",
        "Selective Serotonin Reuptake Inhibitors (SSRIs) for major depression",
        "Interventions for Serum Uric Acid (SUA) reduction in gout",
        "Interventions for pain relief in osteoarthritis",
        "Alogliptin for lowering blood glucose concentration in type II diabetes",
        "Wound closure methods for reducing Surgical Site Infection (SSI)",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2023-08-07 10:58:43",
      "commits": 3
    },
    {
      "source": "runmbnmadose-2.Rmd",
      "filename": "runmbnmadose-2.html",
      "title": "MBNMAdose: Perform a Model-Based Network Meta-Analysis (MBNMA)",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Analysis using mbnma.run()",
        "Dose-response functions",
        "Dose-response parameters",
        "Output",
        "Examples",
        "Parameter interpretation",
        "Additional arguments for mbnma.run()",
        "Link functions for likelihood==\"normal\"",
        "Class effects",
        "User-defined dose-response function",
        "Agent-specific dose-response functions",
        "Incorporating agents/interventions without a dose-response",
        "Splines and knots",
        "Correlation between dose-response parameters",
        "Priors",
        "pD (effective number of parameters)",
        "Arguments to be sent to JAGS",
        "Connecting networks via the dose-response relationship",
        "Non-parametric dose-response functions",
        "Assessment of model fit",
        "Deviance plots",
        "Fitted values",
        "Model Selection",
        "MCMC Convergence",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2025-02-03 17:13:22",
      "commits": 6
    },
    {
      "source": "metaregression-6.Rmd",
      "filename": "metaregression-6.html",
      "title": "MBNMAdose: Perform Network Meta-Regression",
      "author": "Hugo Pedder",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Network meta-regression",
        "Data preparation",
        "Modelling",
        "Independent, agent-specific interactions",
        "Random effect interaction",
        "Common effect interaction",
        "Alternative assumptions",
        "Aggregation bias",
        "Prediction using effect modifying covariates",
        "References"
      ],
      "created": "2023-08-06 18:11:03",
      "modified": "2025-02-03 17:13:22",
      "commits": 5
    }
  ],
  "_score": 6.652052848248105,
  "_indexed": true,
  "_nocasepkg": "mbnmadose",
  "_universes": [
    "hugaped"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.5.0",
      "date": "2026-06-03T09:03:03.000Z",
      "distro": "noble",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "1ec52f61db75b980575f894610f7240f36bdc5558c035b7fdba38b6a81deb89a",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.5.0",
      "date": "2026-06-03T09:03:12.000Z",
      "distro": "noble",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "dd6e9a6f6634d6b894828634990757bedbe69c03345f868a3701a838b3dd2910",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.5.0",
      "date": "2026-06-03T09:02:20.000Z",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "161e856419faceb12ed4a7a0c453490444ccd862f9d5299492dcbc1b121c2101",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.5.0",
      "date": "2026-06-03T09:02:39.000Z",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "1edb791860524d6b6d8f16c0d97cc371bc32a554463accbe6dddfd5212a89e4e",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.5.0",
      "date": "2026-06-03T09:03:22.000Z",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "386b49caa74441e3e5021505b98e6810bc66103f4a23f036b74b0f693c25a179",
      "status": "success",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.5.0",
      "date": "2026-06-03T09:02:04.000Z",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "bbeb0b9fcd2c1f77e4d699df0c7224063ad28a07df4db2f86648ecfe5e71ac1d",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.5.0",
      "date": "2026-06-03T09:02:02.000Z",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "4b2f4393280a6bbf1035d1649a5a851954df003c4590383a395a6940ae9d3d44",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.5.0",
      "date": "2026-06-03T09:03:09.000Z",
      "commit": "cc415a218fc119db71e857fd11a525852af76a89",
      "fileid": "e64ffd37aeaf7cdcbbebe85913e32869e81f4ecb771d72a758cb611b51ca4804",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/hugaped/actions/runs/26874253050"
    }
  ]
}