{ "_id": "6a3118983efcd9bda435ad7a", "Package": "gconsensus", "Type": "Package", "Title": "Consensus Value Constructor", "Version": "0.3.2", "Date": "2022-10-08", "Author": "Hugo Gasca-Aragon", "Maintainer": "Hugo Gasca-Aragon ", "Description": "An implementation of the International Bureau of Weights\nand Measures (BIPM) generalized consensus estimators used to\nassign the reference value in a key comparison exercise. This\ncan also be applied to any interlaboratory study. Given a set\nof different sources, primary laboratories or measurement\nmethods this package provides an evaluation of the variance\ncomponents according to the selected statistical method for\nconsensus building. It also implements the comparison among\ndifferent consensus builders and evaluates the participating\nmethod or sources against the consensus reference value. Based\non a diverse set of references, DerSimonian-Laird (1986)\n, for a complete list of\nreferences look at the reference section in the package\ndocumentation.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-16 09:31:41 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-11-04 22:50:02 UTC", "RemoteUrl": "https://github.com/cran/gconsensus", "RemoteRef": "HEAD", "RemoteSha": "8179543253ee7087a3689274ab82ea5c6578277d", "MD5sum": "dc9dd44c8a950b773f5b3cffa40a8b19", "_user": "cran", "_type": "src", "_file": "gconsensus_0.3.2.tar.gz", "_fileid": "61375639dae9eecb1f5a283956089d24715791c9ee592f4447bb1305b7a9e435", "_filesize": 191751, "_sha256": "61375639dae9eecb1f5a283956089d24715791c9ee592f4447bb1305b7a9e435", "_created": "2026-06-16T09:31:41.000Z", "_published": "2026-06-16T09:34:16.196Z", "_distro": "noble", "_jobs": [ { "job": 81625337997, "time": 102, "config": "linux-devel-x86_64", 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"extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/gconsensus.html", "manual.pdf" ], "_realowner": "hugogasca", "_cranurl": false, "_releases": [ { "version": "0.1.2", "date": "2020-09-11" }, { "version": "0.3.0", "date": "2020-11-04" }, { "version": "0.3.1", "date": "2021-09-27" }, { "version": "0.3.2", "date": "2022-11-05" } ], "_exports": [ "comparison.gconsensus", "doe.gconsensus", "gconsensus", "plot.comparison", "plot.doe", "plot.gconsensus", "print.comparison", "print.doe", "print.gconsensus", "toString.comparison", "toString.doe", "toString.gconsensus", "vr.mle" ], "_help": [ { "page": "gconsensus-package", "title": "Consensus Value Constructor", "topics": [ "gconsensus-package" ] }, { "page": "comparison.gconsensus", "title": "Obtains a set of generalized consensus estimates by different statistical methods for comparison purposes.", "topics": [ "comparison.gconsensus" ] }, { "page": "doe.gconsensus", "title": "Obtains the unilateral degrees of equivalence out of a generalized consensus object.", "topics": [ "doe.gconsensus" ] }, { "page": "gconsensus", "title": "Generalized Consensus Contructor", "topics": [ "gconsensus" ] }, { "page": "plot.comparison", "title": "Plot a gconsensus comparison object", "topics": [ "plot.comparison" ] }, { "page": "plot.doe", "title": "Plot a \"degrees of equivalence\" object", "topics": [ "plot.doe" ] }, { "page": "plot.gconsensus", "title": "Plot a gconsensus object", "topics": [ "plot.gconsensus" ] }, { "page": "print.comparison", "title": "Prints a Comparison Object.", "topics": [ "print.comparison" ] }, { "page": "print.doe", "title": "Prints a Doe Object.", "topics": [ "print.doe" ] }, { "page": "print.gconsensus", "title": "Prints a gconsensus object", "topics": [ "print.gconsensus" ] }, { "page": "toString.comparison", "title": "Builds a detailed description string of the comparison object.", "topics": [ "toString.comparison" ] }, { "page": "toString.doe", "title": "Builds a detailed description string of the doe object.", "topics": [ "toString.doe" ] }, { "page": "toString.gconsensus", "title": "Builds a detailed description string of the gconsenus object.", "topics": [ "toString.gconsensus" ] }, { "page": "vr.mle", "title": "Finds the maximum likelihood estimate solution described by Vangel-Rukhin for the one way random effects model.", "topics": [ "vr.mle" ] } ], "_rundeps": [ "coda", "lattice", "MASS", "rjags" ], "_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" }, { "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" } ], "_score": 1, "_indexed": false, "_nocasepkg": "gconsensus", "_universes": [ "cran" ], 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