{ "_id": "6a1064fcacfb0bcc41ca8a07", "Package": "BACCT", "Type": "Package", "Title": "Bayesian Augmented Control for Clinical Trials", "Version": "1.0", "Date": "2016-06-24", "Authors@R": "c(\nperson(\"Hongtao\", \"Zhang\", role = c(\"aut\", \"cre\"), email = \"hongtao.zhang@abbvie.com\"),\nperson(\"Qi\", \"Tang\", role = \"aut\", email = \"qi.tang@abbvie.com\")\n)", "Description": "Implements the Bayesian Augmented Control (BAC, a.k.a.\nBayesian historical data borrowing) method under clinical trial\nsetting by calling 'Just Another Gibbs Sampler' ('JAGS')\nsoftware. In addition, the 'BACCT' package evaluates\nuser-specified decision rules by computing the type-I\nerror/power, or probability of correct go/no-go decision at\ninterim look. The evaluation can be presented numerically or\ngraphically. Users need to have 'JAGS' 4.0.0 or newer installed\ndue to a compatibility issue with 'rjags' package. Currently,\nthe package implements the BAC method for binary outcome only.\nSupport for continuous and survival endpoints will be added in\nfuture releases. We would like to thank AbbVie's Statistical\nInnovation group and Clinical Statistics group for their\nsupport in developing the 'BACCT' package.", "License": "GPL (>= 3)", "RoxygenNote": "5.0.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-08 06:36:47 UTC", "User": "root" }, "Author": "Hongtao Zhang [aut, cre], Qi Tang [aut]", "Maintainer": "Hongtao Zhang ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2016-06-25 19:07:22 UTC", "RemoteUrl": "https://github.com/cran/BACCT", "RemoteRef": "HEAD", "RemoteSha": "c91515614860e47f5644ed213a07b7fd03c02485", "MD5sum": "c90dc3915119ed7ea7b2b5bbff5e354a", "_user": "cran", "_type": "src", "_file": "BACCT_1.0.tar.gz", "_fileid": "71fcb2709144e5e12c1a847c807ff32e4956c85d5231f4f5e5296a1dce915fad", "_filesize": 143088, "_sha256": "71fcb2709144e5e12c1a847c807ff32e4956c85d5231f4f5e5296a1dce915fad", "_created": "2026-05-08T06:36:47.000Z", "_published": "2026-05-22T14:15:24.193Z", "_distro": "noble", "_jobs": [ { "job": 77397482847, "time": 115, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6873350834" }, { "job": 77397483229, "time": 118, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6873349897" }, { "job": 77397482360, "time": 143, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6873320696" }, { "job": 77397482479, "time": 132, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7162667114" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/25540925848", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/BACCT", "_commit": { "id": "c91515614860e47f5644ed213a07b7fd03c02485", "author": "Hongtao Zhang ", "committer": "cran-robot ", "message": "version 1.0\n", "time": 1466881642 }, "_maintainer": { "name": "Hongtao Zhang", "email": "hongtao.zhang@abbvie.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "rjags", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "reshape2", "role": "Imports" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 197, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/BACCT" }, "_searchresults": 9, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.0", "_assets": [ "extra/BACCT.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2016-06-25" } ], "_exports": [ "BAC_binom", "decision_eval", "heatmap_decision" ], "_help": [ { "page": "BACCT-package", "title": "Bayesian Augmented Control for Clinical Trials", "topics": [ "BACCT-package", "BACCT" ] }, { "page": "BAC_binom", "title": "Bayesian Augmented Control for Binary Responses", "topics": [ "BAC_binom" ] }, { "page": "decision_eval", "title": "Evaluating a Decision Rule", "topics": [ "decision_eval" ] }, { "page": "heatmap_decision", "title": "Heatmap for Decision Rules", "topics": [ "heatmap_decision" ] }, { "page": "plot.BACdecision", "title": "Generateing Plot(s) Used for Decision Rule Evaluation", "topics": [ "plot.BACdecision" ] }, { "page": "summary.BAC", "title": "Summarizing BAC", "topics": [ "summary.BAC" ] } ], "_rundeps": [ "cli", "coda", "cpp11", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lattice", "lifecycle", "magrittr", "plyr", "R6", "RColorBrewer", "Rcpp", "reshape2", "rjags", "rlang", "S7", "scales", "stringi", "stringr", "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" } ], "_score": 1, "_indexed": true, "_nocasepkg": "bacct", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0", "date": "2026-05-08T06:38:44.000Z", "distro": "noble", "commit": "c91515614860e47f5644ed213a07b7fd03c02485", "fileid": "e825e65f0a9f538aeffd79bdcf9b23e276c6868e201a14e2f8fb3b22a70fb2a7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25540925848" }, { "r": "4.6.0", "os": "linux", "version": "1.0", "date": "2026-05-08T06:38:40.000Z", "distro": "noble", "commit": "c91515614860e47f5644ed213a07b7fd03c02485", "fileid": "bb22abfdbee086463d02adb3b4c3e69adff136dc83c3d3937047b099e0dd3a48", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25540925848" }, { "r": "4.6.0", "os": "wasm", "version": "1.0", "date": "2026-05-22T14:15:00.000Z", "commit": "c91515614860e47f5644ed213a07b7fd03c02485", "fileid": "afc259cf05ccafe77ae305003bc7b2a073bd7df58b7e648f95769cde1a83fce1", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/25540925848" } ] }