{ "_id": "6a48e2d0b5e98c4082a02346", "Package": "comparison", "Version": "1.0-5", "Date": "2020-08-04", "Title": "Multivariate Likelihood Ratio Calculation and Evaluation", "Authors@R": "c(person(\"David\", \"Lucy\", role = \"aut\"),\nperson(\"James\", \"Curran\", role = c(\"aut\", \"cre\"),\nemail = \"j.curran@auckland.ac.nz\"),\nperson(\"Agnieszka\", \"Martyna\", role = \"aut\",\nemail = \"ag.rzepecka@gmail.com\"))", "Encoding": "UTF-8", "Description": "Functions for calculating and evaluating likelihood ratios\nfrom uni/multivariate continuous observations. The package\nincludes the two-level functions to calculate the LR assuming\nmultivariate normality, and another with drops this assumption\nand uses a multivariate kernel density estimate. The package\nalso contains code to perform empirical cross entropy (ECE)\ncalibration of likelihood ratios. The LR functions are based\nprimarily on Aitken, C.G.G. and Lucy, D. (2004)\n, \"Evaluation of trace\nevidence in the form of multivariate data,\" Journal of the\nRoyal Statistical Society: Series C (Applied Statistics), 53:\n109-122. The ECE functions are based primarily on D. Ramos and\nJ. Gonzalez-Rodrigues, (2008) \"Cross-entropy analysis of the\ninformation in forensic speaker recognition,\" in Proc. IEEE\nOdyssey, Speaker Lang. Recognit. Workshop.", "License": "GPL (>=2)", "URL": "github.com/jmcurran/comparison", "LazyLoad": "yes", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.1", "Repository": "https://jmcurran.r-universe.dev", "Date/Publication": "2020-08-16 23:49:35 UTC", "RemoteUrl": "https://github.com/jmcurran/comparison", "RemoteRef": "HEAD", "RemoteSha": "11b7d8b54807a083a5076d77bffd54a9dad9f17e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 10:36:44 UTC", "User": "root" }, "Author": "David Lucy [aut],\nJames Curran [aut, cre],\nAgnieszka Martyna [aut]", "Maintainer": "James Curran ", "_user": "jmcurran", "_type": "src", "_file": "comparison_1.0-5.tar.gz", "_fileid": "https://r2.ropensci.org/fcab742240c33bd84db9a27edafa6a668f35c1b1a60a10677a551e66667b0673", "_filesize": 217153, "_sha256": "fcab742240c33bd84db9a27edafa6a668f35c1b1a60a10677a551e66667b0673", "_expires": "2026-10-12T10:39:10.000Z", "_created": "2026-07-04T10:36:44.000Z", "_published": "2026-07-04T10:39:12.579Z", "_jobs": [ { "job": 85125416725, "time": 98, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "8080928040" }, { "job": 85125416732, "time": 102, "config": "linux-release-x86_64", "r": "4.6.1", "check": "ERROR", "artifact": "8080928322" }, { "job": 85125416733, "time": 74, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "ERROR", "artifact": "8080929394" }, { "job": 85125416724, "time": 66, "config": "macos-release-arm64", "r": "4.6.1", "check": "ERROR", "artifact": "8080925834" }, { "job": 85125279620, "time": 141, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8080916816" }, { "job": 85125416729, "time": 91, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8080927261" }, { "job": 85125416726, "time": 62, "config": "windows-devel", "r": "4.7.0", "check": "ERROR", "artifact": "8080923702" }, { "job": 85125416730, "time": 62, "config": "windows-oldrel", "r": "4.5.3", "check": "ERROR", "artifact": "8080923907" }, { "job": 85125416731, "time": 64, "config": "windows-release", "r": "4.6.1", "check": "ERROR", "artifact": "8080923992" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/jmcurran/actions/runs/28703470106", "_status": "success", "_upstream": "https://github.com/jmcurran/comparison", "_commit": { "id": "11b7d8b54807a083a5076d77bffd54a9dad9f17e", "author": "jmcurran ", "committer": "GitHub ", "message": "Merge pull request #1 from mdedonno1337/calc.ece.method\n\nAdd the \"method\" parameter to the calc.ece function", "time": 1597621775 }, "_maintainer": { "name": "James Curran", "email": "j.curran@auckland.ac.nz", "login": "jmcurran", "description": "Professor of Statistics at the University of Auckland. 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