{
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  "Package": "mvnma",
  "Title": "Multivariate Network Meta-Analysis using Bayesian Methods",
  "Version": "0.1-0",
  "Date": "2026-05-15",
  "Authors@R": "c(person(\"Theodoros\", \"Evrenoglou\",\nrole = c(\"aut\", \"cre\"),\nemail = \"theodoros.evrenoglou@uniklinik-freiburg.de\",\ncomment = c(ORCID = \"0000-0003-3336-8058\")),\nperson(\"Guido\", \"Schwarzer\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-6214-9087\")))",
  "Maintainer": "Theodoros Evrenoglou\n<theodoros.evrenoglou@uniklinik-freiburg.de>",
  "URL": "https://github.com/TEvrenoglou/mvnma",
  "Description": "Tools to conduct Bayesian multivariate network\nmeta-analysis providing - the single correlation coefficient\nmodel by Efthimiou et al. (2015)\n<doi:10.1093/biostatistics/kxu030>; - per-outcome treatment\nhierarchies using the surface under the cumulative ranking\ncurve (SUCRA), the probability of best value, or median (or\nmean) ranks (Salanti et al., 2011)\n<doi:10.1016/j.jclinepi.2010.03.016>; - across-outcomes\nbenefit-risk assessment using the VišeKriterijumska\nOptimizacija I Kompromisno Rešenje (VIKOR) method (Opricovic &\nTzeng, 2004) <doi:10.1016/S0377-2217(03)00020-1>; - convergence\nchecks using trace plots, density plots, or the R-hat\nstatistic; - forest plots of treatment estimates, scatter plots\nof per-outcome rankings, Hasse diagrams (Carlsen & Bruggemann,\n2014) <doi:10.1002/cem.2569> to visualize the partial order of\nthe treatments across all outcomes.",
  "License": "GPL (>= 2)",
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  "Author": "Theodoros Evrenoglou [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-3336-8058>), Guido Schwarzer [aut]\n(ORCID: <https://orcid.org/0000-0001-6214-9087>)",
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  "Date/Publication": "2026-05-19 09:50:02 UTC",
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      "title": "mvnma: Brief overview of methods",
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        "print.mvnma"
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      "title": "Rank treatments across all outcomes using the VišeKriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) multi-criteria decision analysis method",
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