{ "_id": "6a196f5aacfb0bcc41dec6da", "Package": "BayesPPD", "Title": "Bayesian Power Prior Design", "Version": "1.1.3", "Date": "2025-01-03", "Authors@R": "c(\nperson(given = \"Yueqi\",\nfamily = \"Shen\",\nrole = c(\"aut\",\"cre\"),\nemail = \"angieshen6@gmail.com\"),\nperson(given = \"Matthew A.\",\nfamily = \"Psioda\",\nrole = c(\"aut\"),\nemail = \"matt_psioda@unc.edu\"),\nperson(given = \"Joseph G.\",\nfamily = \"Ibrahim\",\nrole = c(\"aut\"),\nemail = \"ibrahim@bios.unc.edu\"))", "Description": "Bayesian power/type I error calculation and model fitting\nusing the power prior and the normalized power prior for\ngeneralized linear models. Detailed examples of applying the\npackage are available at . Models for\ntime-to-event outcomes are implemented in the R package\n'BayesPPDSurv'. The Bayesian clinical trial design methodology\nis described in Chen et al. (2011)\n, and Psioda and Ibrahim\n(2019) . The normalized power\nprior is described in Duan et al. (2006) \nand Ibrahim et al. (2015) .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.2.1", "LazyData": "true", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-29 10:44:30 UTC", "User": "root" }, "Author": "Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G.\nIbrahim [aut]", "Maintainer": "Yueqi Shen ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-01-13 19:30:02 UTC", "RemoteUrl": "https://github.com/cran/BayesPPD", "RemoteRef": "HEAD", "RemoteSha": "a105b5c74c009b19c541310f436d70714827e36b", "MD5sum": "14d75d85d87ffe5f5f50da9f96538933", "_user": "cran", "_type": "src", "_file": "BayesPPD_1.1.3.tar.gz", "_fileid": "1240d6551c5ebd09811efdd96f5206f459963f79edbbfa5aeb8f1a7832349a66", "_filesize": 430008, "_sha256": "1240d6551c5ebd09811efdd96f5206f459963f79edbbfa5aeb8f1a7832349a66", "_created": "2026-05-29T10:44:30.000Z", "_published": "2026-05-29T10:50:02.374Z", "_distro": "noble", "_jobs": [ { "job": 78485756086, "time": 207, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7288922905" }, { "job": 78485756054, "time": 224, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7288927760" }, { "job": 78485756064, "time": 210, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7288923761" }, { "job": 78485756043, "time": 248, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7288934316" }, { "job": 78485052879, "time": 304, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7288862238" }, { "job": 78485756036, "time": 146, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7288904910" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26632632479", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/BayesPPD", "_commit": { "id": "a105b5c74c009b19c541310f436d70714827e36b", "author": "Yueqi Shen ", "committer": "cran-robot ", "message": "version 1.1.3\n", "time": 1736796602 }, "_maintainer": { "name": "Yueqi Shen", "email": "angieshen6@gmail.com", "login": "angieshen6", "description": "", "uuid": 16693528 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "RcppEigen", "role": "LinkingTo" }, { "package": "RcppNumerical", "role": "LinkingTo" }, { "package": "Rcpp", "role": "Imports" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "kableExtra", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 1, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "angieshen6", "count": 1, "uuid": 16693528 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 356, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/BayesPPD" }, "_searchresults": 7, "_topics": [ "openblas", "cpp", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/BayesPPD.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "manual.pdf" ], "_realowner": "angieshen6", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2021-05-10" }, { "version": "1.0.1", "date": "2021-07-13" }, { "version": "1.0.2", "date": "2021-07-20" }, { "version": "1.0.3", "date": "2021-09-08" }, { "version": "1.0.4", "date": "2022-01-03" }, { "version": "1.0.5", "date": "2022-04-17" }, { "version": "1.0.6", "date": "2022-04-23" }, { "version": "1.0.7", "date": "2022-08-12" }, { "version": "1.1.0", "date": "2022-11-12" }, { "version": "1.1.1", "date": "2023-05-09" }, { "version": "1.1.2", "date": "2023-11-26" }, { "version": "1.1.3", "date": "2025-01-17" } ], "_exports": [ "glm.fixed.a0", "glm.random.a0", "normalizing.constant", "power.glm.fixed.a0", "power.glm.random.a0", "power.two.grp.fixed.a0", "power.two.grp.random.a0", "two.grp.fixed.a0", "two.grp.random.a0" ], "_datasets": [ { "name": "actg019", "title": "AIDS Clinical Trial ACTG019 (1990).", "object": "actg019", "class": [ "data.frame" ], "fields": [ "outcome", "age", "race", "T4count" ], "rows": 404, "table": true, "tojson": true }, { "name": "actg036", "title": "AIDS Clinical Trial ACTG036 (1991).", "object": "actg036", "class": [ "data.frame" ], "fields": [ "outcome", "treat", "age", "race", "T4count" ], "rows": 183, "table": true, "tojson": true } ], "_help": [ { "page": "BayesPPD-package", "title": "Bayesian sample size determination using the power and normalized power prior for generalized linear models", "topics": [ "BayesPPD-package" ] }, { "page": "actg019", "title": "AIDS Clinical Trial ACTG019 (1990).", "topics": [ "actg019" ] }, { "page": "actg036", "title": "AIDS Clinical Trial ACTG036 (1991).", "topics": [ "actg036" ] }, { "page": "glm.fixed.a0", "title": "Model fitting for generalized linear models with fixed a0", "topics": [ "glm.fixed.a0" ] }, { "page": "glm.random.a0", "title": "Model fitting for generalized linear models with random a0", "topics": [ "glm.random.a0" ] }, { "page": "normalizing.constant", "title": "Function for approximating the normalizing constant for generalized linear models with random a0", "topics": [ "normalizing.constant" ] }, { "page": "power.glm.fixed.a0", "title": "Power/type I error calculation for generalized linear models with fixed a0", "topics": [ "power.glm.fixed.a0" ] }, { "page": "power.glm.random.a0", "title": "Power/type I error calculation for generalized linear models with random a0", "topics": [ "power.glm.random.a0" ] }, { "page": "power.two.grp.fixed.a0", "title": "Power/type I error calculation for data with two groups (treatment and control group, no covariates) with fixed a0", "topics": [ "power.two.grp.fixed.a0" ] }, { "page": "power.two.grp.random.a0", "title": "Power/type I error calculation for two groups (treatment and control group, no covariates) with random a0", "topics": [ "power.two.grp.random.a0" ] }, { "page": "two.grp.fixed.a0", "title": "Model fitting for two groups (treatment and control group, no covariates) with fixed a0", "topics": [ "two.grp.fixed.a0" ] }, { "page": "two.grp.random.a0", "title": "Model fitting for two groups (treatment and control group, no covariates) with random a0", "topics": [ "two.grp.random.a0" ] } ], "_rundeps": [ "Rcpp", "RcppArmadillo", "RcppEigen", "RcppNumerical" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "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" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "bayesppd-vignette.Rmd", "filename": "bayesppd-vignette.html", "title": "Bayesian Sample Size Determination for Two Group Models (Binary and Normal Outcomes)", "engine": "knitr::rmarkdown", "headings": [ "1. Two Group Cases with Binary Outcomes", "1.1 Power Prior with Fixed $a_0$", "1.2 Normalized Power Prior ($a_0$ Modeled as Random)", "2. Two Group Cases with Normally Distributed Outcomes", "2.1 Power Prior with Fixed $a_0$", "2.2 Normalized Power Prior ($a_0$ Modeled as Random)" ], "created": "2022-11-12 07:20:02", "modified": "2022-11-12 07:20:02", "commits": 1 } ], "_score": 2.4771212547196626, "_indexed": false, "_nocasepkg": "bayesppd", "_universes": [ "cran" ], "_indexurl": "https://angieshen6.r-universe.dev/BayesPPD", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.3", "date": "2026-05-29T10:47:21.000Z", "distro": "noble", "arch": "aarch64", "commit": "a105b5c74c009b19c541310f436d70714827e36b", "fileid": "58eda053790f83cfd032c4313aa7dbf5a764ad74d26d85b06545ff3c85531689", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26632632479" }, { "r": "4.7.0", "os": "linux", "version": "1.1.3", "date": "2026-05-29T10:47:30.000Z", "distro": "noble", "arch": "x86_64", "commit": "a105b5c74c009b19c541310f436d70714827e36b", "fileid": "7c34041127e6114e88559f23c62822b2131003d072c8417a73d8f426b93bc0f0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26632632479" }, { "r": "4.6.0", "os": "linux", "version": "1.1.3", "date": "2026-05-29T10:47:22.000Z", "distro": "noble", "arch": "aarch64", "commit": "a105b5c74c009b19c541310f436d70714827e36b", "fileid": "7fbba959dbb76985df39f404655a1ec9082b0945669c20316ec1a1a6de98a2f5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26632632479" }, { "r": "4.6.0", "os": "linux", "version": "1.1.3", "date": "2026-05-29T10:47:52.000Z", "distro": "noble", "arch": "x86_64", "commit": "a105b5c74c009b19c541310f436d70714827e36b", "fileid": "9a68c9b49c75572db9a06333739789b983c6719b019b067b02cd286c5fc01178", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26632632479" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.3", "date": "2026-05-29T10:47:33.000Z", "arch": "emscripten", "commit": "a105b5c74c009b19c541310f436d70714827e36b", "fileid": "7410d985da62a1f41bf0f5daef0bc7015491e2f4aebd6652d404ba67afbc03af", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26632632479" } ] }