{
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  "Package": "mixmeta",
  "Type": "Package",
  "Version": "1.2.2",
  "Date": "2025-10-07",
  "Title": "An Extended Mixed-Effects Framework for Meta-Analysis",
  "Description": "A collection of functions to perform various\nmeta-analytical models through a unified mixed-effects\nframework, including standard univariate fixed and\nrandom-effects meta-analysis and meta-regression, and\nnon-standard extensions such as multivariate, multilevel,\nlongitudinal, and dose-response models.",
  "Maintainer": "Antonio Gasparrini <antonio.gasparrini@lshtm.ac.uk>",
  "Authors@R": "c(\nperson(given = \"Antonio\",\nfamily = \"Gasparrini\",\nrole = c(\"cre\", \"aut\", \"cph\"),\nemail = \"antonio.gasparrini@lshtm.ac.uk\",\ncomment = c(ORCID = \"0000-0002-2271-3568\")),\nperson(given = \"Francesco\",\nfamily = \"Sera\",\nrole = c(\"aut\"),\nemail = \"francesco.sera@unifi.it\")\n)",
  "URL": "https://github.com/gasparrini/mixmeta,\nhttp://www.ag-myresearch.com/package-mixmeta",
  "License": "GPL (>= 3)",
  "LazyData": "yes",
  "Encoding": "UTF-8",
  "Repository": "https://gasparrini.r-universe.dev",
  "Date/Publication": "2025-10-24 10:15:08 UTC",
  "RemoteUrl": "https://github.com/gasparrini/mixmeta",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-03 15:42:53 UTC",
    "User": "root"
  },
  "Author": "Antonio Gasparrini [cre, aut, cph] (ORCID:\n<https://orcid.org/0000-0002-2271-3568>),\nFrancesco Sera [aut]",
  "_user": "gasparrini",
  "_type": "src",
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  "_created": "2026-07-03T15:42:53.000Z",
  "_published": "2026-07-03T15:46:20.860Z",
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    "description": "",
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    {
      "package": "graphics",
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    },
    {
      "package": "grDevices",
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    {
      "package": "utils",
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    },
    {
      "package": "metafor",
      "role": "Suggests"
    },
    {
      "package": "dosresmeta",
      "role": "Suggests"
    },
    {
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    {
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    },
    {
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    }
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    "followers": 369
  },
  "_downloads": {
    "count": 4267,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mixmeta"
  },
  "_mentions": 4,
  "_devurl": "https://github.com/gasparrini/mixmeta",
  "_searchresults": 128,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mixmeta.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/gasparrini/mixmeta",
  "_realowner": "gasparrini",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.2.2",
      "date": "2019-07-29"
    },
    {
      "version": "1.0.3",
      "date": "2019-08-27"
    },
    {
      "version": "1.0.5",
      "date": "2019-11-11"
    },
    {
      "version": "1.0.7",
      "date": "2019-12-09"
    },
    {
      "version": "1.0.8",
      "date": "2020-03-09"
    },
    {
      "version": "1.1.0",
      "date": "2020-10-08"
    },
    {
      "version": "1.1.1",
      "date": "2021-03-20"
    },
    {
      "version": "1.1.2",
      "date": "2021-05-15"
    },
    {
      "version": "1.1.3",
      "date": "2021-06-12"
    },
    {
      "version": "1.2.0",
      "date": "2021-10-16"
    },
    {
      "version": "1.2.2",
      "date": "2025-10-13"
    }
  ],
  "_exports": [
    "bdiagMat",
    "blup",
    "blup.mixmeta",
    "coef.mixmeta",
    "inputcov",
    "inputna",
    "logLik.mixmeta",
    "mixmeta",
    "mixmeta.control",
    "mixmeta.fit",
    "mixmeta.fixed",
    "mixmeta.ml",
    "mixmeta.mm",
    "mixmeta.reml",
    "mixmeta.vc",
    "mixmetaSim",
    "model.frame.mixmeta",
    "model.matrix.mixmeta",
    "na.exclude.data.frame.mixmeta",
    "na.omit.data.frame.mixmeta",
    "predict.mixmeta",
    "print.mixmeta",
    "print.qtest.mixmeta",
    "print.summary.mixmeta",
    "qtest",
    "qtest.mixmeta",
    "simulate.mixmeta",
    "summary.mixmeta",
    "terms.mixmeta",
    "vcov.mixmeta",
    "vechMat",
    "xpndMat"
  ],
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      "name": "alcohol",
      "title": "Alcohol Intake and Colorectal Cancer",
      "object": "alcohol",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "type",
        "dose",
        "cases",
        "peryears",
        "logrr",
        "se"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "bcg",
      "title": "Efficacy of BCG Vaccine in the Prevention of Tuberculosis",
      "object": "bcg",
      "class": [
        "data.frame"
      ],
      "fields": [
        "trial",
        "author",
        "year",
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        "logrr",
        "logrrvar",
        "logor",
        "logorvar"
      ],
      "rows": 13,
      "table": true,
      "tojson": true
    },
    {
      "name": "berkey98",
      "title": "Five Published Trials on Periodontal Disease",
      "object": "berkey98",
      "class": [
        "data.frame"
      ],
      "fields": [
        "pubyear",
        "npat",
        "PD",
        "AL",
        "var_PD",
        "cov_PD_AL",
        "var_AL"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "dbs",
      "title": "Deep-Brain Stimulation for Patients with Parkinson's Disease",
      "object": "dbs",
      "class": [
        "data.frame"
      ],
      "fields": [
        "author",
        "year",
        "eff_month3",
        "var_month3",
        "eff_month6",
        "var_month6",
        "eff_month12",
        "var_month12",
        "eff_long",
        "var_long",
        "duration",
        "baseline"
      ],
      "rows": 46,
      "table": true,
      "tojson": true
    },
    {
      "name": "fibrinogen",
      "title": "Fibrinogen Studies Collaboration",
      "object": "fibrinogen",
      "class": [
        "data.frame"
      ],
      "fields": [
        "cohort",
        "b2",
        "b3",
        "b4",
        "b5",
        "V_2_2",
        "V_2_3",
        "V_2_4",
        "V_2_5",
        "V_3_3",
        "V_3_4",
        "V_3_5",
        "V_4_4",
        "V_4_5",
        "V_5_5"
      ],
      "rows": 31,
      "table": true,
      "tojson": true
    },
    {
      "name": "gliomas",
      "title": "Randomized Trials on Therapies for Malignant Gliomas",
      "object": "gliomas",
      "class": [
        "escalc",
        "data.frame"
      ],
      "fields": [
        "study",
        "time",
        "ntreat",
        "ncontr",
        "streat",
        "scontr",
        "logOR",
        "logORvar"
      ],
      "rows": 68,
      "table": true,
      "tojson": true
    },
    {
      "name": "hsls",
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      "object": "hsls",
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        "data.frame"
      ],
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        "race",
        "b1",
        "b2",
        "b3",
        "V11",
        "V12",
        "V13",
        "V22",
        "V23",
        "V33"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "hyp",
      "title": "Ten Studies Assessing an Hypertension Treatment",
      "object": "hyp",
      "class": [
        "data.frame"
      ],
      "fields": [
        "study",
        "sbp",
        "sbp_se",
        "dbp",
        "dbp_se",
        "rho",
        "ish"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "p53",
      "title": "Mutant p53 Gene and Squamous Cell Carcinoma",
      "object": "p53",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "y1",
        "y2",
        "V1",
        "V2"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "school",
      "title": "Studies on Modified School Calendar and Student Achievement",
      "object": "school",
      "class": [
        "data.frame"
      ],
      "fields": [
        "district",
        "study",
        "effect",
        "var",
        "year"
      ],
      "rows": 56,
      "table": true,
      "tojson": true
    },
    {
      "name": "smoking",
      "title": "Meta-Analysis of Interventions to Promote Smoking Cessation",
      "object": "smoking",
      "class": [
        "data.frame"
      ],
      "fields": [
        "study",
        "design",
        "dA",
        "nA",
        "dB",
        "nB",
        "dC",
        "nC",
        "dD",
        "nD",
        "yB",
        "yC",
        "yD",
        "SBB",
        "SBC",
        "SBD",
        "SCC",
        "SCD",
        "SDD"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "thrombolytic",
      "title": "Randomized Trials of Thrombolytic Therapy",
      "object": "thrombolytic",
      "class": [
        "data.frame"
      ],
      "fields": [
        "trial",
        "time2treat",
        "dtreat",
        "ntreat",
        "dcontr",
        "ncontr",
        "risktreat",
        "riskcontr",
        "absrisk",
        "var"
      ],
      "rows": 38,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "mixmeta-package",
      "title": "An Extended Mixed-Effects Framework for Meta-Analysis",
      "topics": [
        "mixmeta-package"
      ]
    },
    {
      "page": "alcohol",
      "title": "Alcohol Intake and Colorectal Cancer",
      "topics": [
        "alcohol"
      ]
    },
    {
      "page": "bcg",
      "title": "Efficacy of BCG Vaccine in the Prevention of Tuberculosis",
      "topics": [
        "bcg"
      ]
    },
    {
      "page": "bdiagMat",
      "title": "Block-Diagonal Expansion of a List of Matrices",
      "topics": [
        "bdiagMat"
      ]
    },
    {
      "page": "berkey98",
      "title": "Five Published Trials on Periodontal Disease",
      "topics": [
        "berkey98"
      ]
    },
    {
      "page": "blup",
      "title": "Best Linear Unbiased Predictions",
      "topics": [
        "blup"
      ]
    },
    {
      "page": "blup.mixmeta",
      "title": "Best Linear Unbiased Predictions from mixmeta Models",
      "topics": [
        "blup.mixmeta"
      ]
    },
    {
      "page": "coef.mixmeta",
      "title": "Extract Coefficients and (Co)Variance Matrix from mixmeta Objects",
      "topics": [
        "coef.mixmeta",
        "vcov.mixmeta"
      ]
    },
    {
      "page": "dbs",
      "title": "Deep-Brain Stimulation for Patients with Parkinson's Disease",
      "topics": [
        "dbs"
      ]
    },
    {
      "page": "fibrinogen",
      "title": "Fibrinogen Studies Collaboration",
      "topics": [
        "fibrinogen"
      ]
    },
    {
      "page": "gliomas",
      "title": "Randomized Trials on Therapies for Malignant Gliomas",
      "topics": [
        "gliomas"
      ]
    },
    {
      "page": "hsls",
      "title": "High School Longitudinal Study",
      "topics": [
        "hsls"
      ]
    },
    {
      "page": "hyp",
      "title": "Ten Studies Assessing an Hypertension Treatment",
      "topics": [
        "hyp"
      ]
    },
    {
      "page": "inputcov",
      "title": "Input (Co)Variance Matrices",
      "topics": [
        "inputcov"
      ]
    },
    {
      "page": "inputna",
      "title": "Input Missing Values",
      "topics": [
        "inputna"
      ]
    },
    {
      "page": "logLik.mixmeta",
      "title": "Extract Log-Likelihood from mixmeta Objects",
      "topics": [
        "logLik.mixmeta"
      ]
    },
    {
      "page": "mixmeta",
      "title": "Fitting Standard and Extended Meta-Analysis and Meta-Regression Models",
      "topics": [
        "mixmeta",
        "mixmeta.fit"
      ]
    },
    {
      "page": "mixmeta.control",
      "title": "Ancillary Parameters for Controlling the Fit in mixmeta Models",
      "topics": [
        "mixmeta.control"
      ]
    },
    {
      "page": "mixmeta.fixed",
      "title": "Fixed-Effects Estimator for mixmeta Models",
      "topics": [
        "mixmeta.fixed"
      ]
    },
    {
      "page": "mixmeta.ml",
      "title": "ML and REML Estimators for mixmeta Models",
      "topics": [
        "mixmeta.ml",
        "mixmeta.reml"
      ]
    },
    {
      "page": "mixmeta.mm",
      "title": "Method of Moments Estimator for mixmeta Models",
      "topics": [
        "mixmeta.mm"
      ]
    },
    {
      "page": "mixmeta.vc",
      "title": "Variance Components Estimator for mixmeta Models",
      "topics": [
        "mixmeta.vc"
      ]
    },
    {
      "page": "mixmetaCovStruct",
      "title": "(Co)variance Structures for mixmeta Models",
      "topics": [
        "mixmetaCovStruct"
      ]
    },
    {
      "page": "mixmetaFormula",
      "title": "Formulae in mixmeta Models",
      "topics": [
        "mixmetaFormula"
      ]
    },
    {
      "page": "mixmetaObject",
      "title": "mixmeta Objects",
      "topics": [
        "mixmetaObject"
      ]
    },
    {
      "page": "mixmetaSim",
      "title": "Simulating Responses for mixmeta Models",
      "topics": [
        "mixmetaSim",
        "simulate.mixmeta"
      ]
    },
    {
      "page": "ml.igls",
      "title": "IGLS and RIGLS Iterative Algorithms for mixmeta Models",
      "topics": [
        "igls.iter",
        "ml.igls",
        "reml.rigls",
        "rigls.iter"
      ]
    },
    {
      "page": "ml.loglik.fn",
      "title": "Likelihood Functions for mixmeta Models",
      "topics": [
        "ml.loglik.fn",
        "ml.loglik.gr",
        "reml.loglik.fn",
        "reml.loglik.gr"
      ]
    },
    {
      "page": "ml.newton",
      "title": "Quasi-Newton Iterative Algorithms for mixmeta Models",
      "topics": [
        "ml.newton",
        "reml.newton"
      ]
    },
    {
      "page": "model.frame.mixmeta",
      "title": "Extract Model Frame and Design Matrix from mixmeta Objects",
      "topics": [
        "model.frame.mixmeta",
        "model.matrix.mixmeta"
      ]
    },
    {
      "page": "na.omit.data.frame.mixmeta",
      "title": "Handling Missing Values in mixmeta Models",
      "topics": [
        "na.exclude.data.frame.mixmeta",
        "na.omit.data.frame.mixmeta"
      ]
    },
    {
      "page": "p53",
      "title": "Mutant p53 Gene and Squamous Cell Carcinoma",
      "topics": [
        "p53"
      ]
    },
    {
      "page": "predict.mixmeta",
      "title": "Predicted Values from mixmeta Models",
      "topics": [
        "predict.mixmeta"
      ]
    },
    {
      "page": "qtest",
      "title": "Cochran Q Test of Heterogeneity",
      "topics": [
        "qtest"
      ]
    },
    {
      "page": "qtest.mixmeta",
      "title": "Cochran Q Test of Heterogeneity for mixmeta Models",
      "topics": [
        "print.qtest.mixmeta",
        "qtest.mixmeta"
      ]
    },
    {
      "page": "school",
      "title": "Studies on Modified School Calendar and Student Achievement",
      "topics": [
        "school"
      ]
    },
    {
      "page": "smoking",
      "title": "Meta-Analysis of Interventions to Promote Smoking Cessation",
      "topics": [
        "smoking"
      ]
    },
    {
      "page": "summary.mixmeta",
      "title": "Summarizing mixmeta Models",
      "topics": [
        "print.mixmeta",
        "print.summary.mixmeta",
        "summary.mixmeta"
      ]
    },
    {
      "page": "terms.mixmeta",
      "title": "Extract Model Terms from mixmeta Objects",
      "topics": [
        "terms.mixmeta"
      ]
    },
    {
      "page": "thrombolytic",
      "title": "Randomized Trials of Thrombolytic Therapy",
      "topics": [
        "thrombolytic"
      ]
    },
    {
      "page": "vechMat",
      "title": "Vectorization and Expansion of Symmetric Matrices",
      "topics": [
        "vechMat",
        "xpndMat"
      ]
    }
  ],
  "_readme": "https://github.com/gasparrini/mixmeta/raw/HEAD/README.md",
  "_rundeps": [],
  "_score": 8.108769929911283,
  "_indexed": true,
  "_nocasepkg": "mixmeta",
  "_universes": [
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  "_binaries": [
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