{ "_id": "6ae052d75d0f7c3164ef6cf7", "Package": "RoBSA", "Type": "Package", "Title": "Robust Bayesian Survival Analysis", "Version": "1.0.4", "Maintainer": "František Bartoš ", "Authors@R": "c( \nperson(\"František\", \"Bartoš\", role = c(\"aut\", \"cre\"),\nemail = \"f.bartos96@gmail.com\", comment = c(ORCID = \"0000-0002-0018-5573\")),\nperson(\"Julia M.\", \"Haaf\", role = \"ths\",\ncomment = c(ORCID = \"0000-0001-5122-706X\")),\nperson(\"Matthew\", \"Denwood\", role=\"cph\",\ncomment=\"Original copyright holder of some modified code where indicated.\"),\nperson(\"Martyn\", \"Plummer\", role=\"cph\",\ncomment=\"Original copyright holder of some modified code where indicated.\")\n)", "Description": "A framework for estimating ensembles of parametric\nsurvival models with different parametric families. The RoBSA\nframework uses Bayesian model-averaging to combine the\ncompeting parametric survival models into a model ensemble,\nweights the posterior parameter distributions based on\nposterior model probabilities and uses Bayes factors to test\nfor the presence or absence of the individual predictors or\npreference for a parametric family (Bartoš, Aust & Haaf, 2022,\n). The user can define a wide\nrange of informative priors for all parameters of interest. The\npackage provides convenient functions for summary,\nvisualizations, fit diagnostics, and prior distribution\ncalibration.", "URL": "https://fbartos.github.io/RoBSA/", "BugReports": "https://github.com/FBartos/RoBSA/issues", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "SystemRequirements": "JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)", "RdMacros": "Rdpack", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-27 07:23:55 UTC", "User": "root" }, "Author": "František Bartoš [aut, cre] (ORCID:\n), Julia M. Haaf [ths]\n(ORCID: ), Matthew\nDenwood [cph] (Original copyright holder of some modified code\nwhere indicated.), Martyn Plummer [cph] (Original copyright\nholder of some modified code where indicated.)", "Config/pak/sysreqs": "jags", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-05-07 15:08:03 UTC", "RemoteUrl": "https://github.com/cran/RoBSA", "RemoteRef": "HEAD", "RemoteSha": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "_user": "cran", "_type": "src", "_file": "RoBSA_1.0.4.tar.gz", "_fileid": "https://r2.ropensci.org/c6505825e17d994e3098a0fb09bc5a936c6904727663b34517a71eee579a9894", "_filesize": 352892, "_sha256": "c6505825e17d994e3098a0fb09bc5a936c6904727663b34517a71eee579a9894", "_expires": "2027-02-04T07:29:25.000Z", "_created": "2026-10-27T07:23:55.000Z", "_published": "2026-10-27T07:29:27.163Z", "_upstream": "https://github.com/cran/RoBSA", "_status": "success", "_maintainer": { "name": "František Bartoš", "email": "f.bartos96@gmail.com", "login": "fbartos", "bluesky": "@fbartos.bsky.social", "orcid": "0000-0002-0018-5573", "twitter": "@BartosFra", "description": "A PostDoc at the University of Amsterdam. I’m interested in meta-analyses, publication bias, replicability, and Bayesian inference.", "uuid": 38475991 }, "_jobs": [ { "job": 122064461080, "time": 136, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "12716599788" }, { "job": 122064461121, "time": 162, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12717560054" }, { "job": 122064461199, "time": 142, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12716269526" }, { "job": 122064461167, "time": 148, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12716812646" }, { "job": 122063136778, "time": 239, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12716817120" }, { "job": 122064461162, "time": 107, "config": "wasm-release", "r": "4.6.0", "check": "FAIL", "artifact": "" }, { "job": 122064461178, "time": 285, "config": "windows-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "12716643849" }, { "job": 122064461063, "time": 211, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12717645092" }, { "job": 122064461067, "time": 283, "config": "windows-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12717420725" }, { "job": 122064461084, "time": 148, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12717066836" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698", "_commit": { "id": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "author": "František Bartoš ", "committer": "cran-robot ", "message": "version 1.0.4\n", "time": 1778166483 }, "_distro": "resolute", "_host": "GitHub-Actions", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "BayesTools", "version": ">= 0.3.0", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "rjags", "role": "Imports" }, { "package": "runjags", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "coda", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "Rdpack", "role": "Imports" }, { "package": "parallel", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "flexsurv", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "vdiffr", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "covr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-19", "n": 1 } ], "_tags": [ { "name": "1.0.4", "date": "2026-05-07" } ], "_stars": 0, "_contributors": [ { "user": "fbartos", "count": 5, "uuid": 38475991 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 634, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 276, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RoBSA" }, "_devurl": "https://github.com/fbartos/robsa", "_pkgdown": "https://fbartos.github.io/RoBSA/", "_searchresults": 4, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/RoBSA.html" ], "_homeurl": "https://github.com/fbartos/robsa", "_realowner": "fbartos", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2022-05-27" }, { "version": "1.0.1", "date": "2023-03-13" }, { "version": "1.0.2", "date": "2023-05-30" }, { "version": "1.0.3", "date": "2025-03-24" }, { "version": "1.0.4", "date": "2026-05-07" } ], "_exports": [ "calibrate_meta_analytic", "calibrate_quartiles", "check_RoBSA", "check_setup", "contr.independent", "contr.meandif", "contr.orthonormal", "diagnostics", "diagnostics_autocorrelation", "diagnostics_density", "diagnostics_trace", "exp_aft_density", "exp_aft_hazard", "exp_aft_log_density", "exp_aft_log_hazard", "exp_aft_log_survival", "exp_aft_mean", "exp_aft_p", "exp_aft_q", "exp_aft_r", "exp_aft_sd", "exp_aft_survival", "extract_flexsurv", "gamma_aft_density", "gamma_aft_hazard", "gamma_aft_log_density", "gamma_aft_log_hazard", "gamma_aft_log_survival", "gamma_aft_mean", "gamma_aft_p", "gamma_aft_q", "gamma_aft_r", "gamma_aft_sd", "gamma_aft_survival", "get_default_prior_aux", "get_default_prior_beta_alt", "get_default_prior_beta_null", "get_default_prior_factor_null", "get_default_prior_intercept", "is.RoBSA", "llogis_aft_density", "llogis_aft_hazard", "llogis_aft_log_density", "llogis_aft_log_hazard", "llogis_aft_log_survival", "llogis_aft_mean", "llogis_aft_p", "llogis_aft_q", "llogis_aft_r", "llogis_aft_sd", "llogis_aft_survival", "lnorm_aft_density", "lnorm_aft_hazard", "lnorm_aft_log_density", "lnorm_aft_log_hazard", "lnorm_aft_log_survival", "lnorm_aft_mean", "lnorm_aft_p", "lnorm_aft_q", "lnorm_aft_r", "lnorm_aft_sd", "lnorm_aft_survival", "plot_density", "plot_hazard", "plot_models", "plot_prediction", "plot_survival", "prior", "prior_factor", "prior_informed", "prior_informed_medicine_names", "prior_none", "RoBSA", "RoBSA.get_option", "RoBSA.options", "set_autofit_control", "set_convergence_checks", "weibull_aft_density", "weibull_aft_hazard", "weibull_aft_log_density", "weibull_aft_log_hazard", "weibull_aft_log_survival", "weibull_aft_mean", "weibull_aft_p", "weibull_aft_q", "weibull_aft_r", "weibull_aft_sd", "weibull_aft_survival" ], "_help": [ { "page": "RoBSA-package", "title": "RoBSA: Robust Bayesian survival analysis", "topics": [ "RoBSA-package", "RoBSA.package", "RoBSA_package", "_PACKAGE" ] }, { "page": "calibrate_meta_analytic", "title": "Create meta-analytic predictive prior distributions", "topics": [ "calibrate_meta_analytic" ] }, { "page": "calibrate_quartiles", "title": "Calibrate prior distributions based on quartiles", "topics": [ "calibrate_quartiles" ] }, { "page": "check_RoBSA", "title": "Check fitted RoBSA object for errors and warnings", "topics": [ "check_RoBSA" ] }, { "page": "check_setup", "title": "Prints summary of '\"RoBSA\"' corresponding to the input", "topics": [ "check_setup" ] }, { "page": "contr.BayesTools", "title": "BayesTools Contrast Matrices", "topics": [ "contr.BayesTools", "contr.independent", "contr.meandif", "contr.orthonormal" ] }, { "page": "default_prior", "title": "Default prior distributions", "topics": [ "default_prior", "get_default_prior_aux", "get_default_prior_beta_alt", "get_default_prior_beta_alt,", "get_default_prior_beta_null", "get_default_prior_beta_null,", "get_default_prior_factor_alt", "get_default_prior_factor_alt,", "get_default_prior_factor_null", "get_default_prior_factor_null,", "get_default_prior_intercept", "get_default_prior_intercept," ] }, { "page": "diagnostics", "title": "Visualizes MCMC diagnostics for a fitted RoBSA object", "topics": [ "diagnostics", "diagnostics_autocorrelation", "diagnostics_density", "diagnostics_trace" ] }, { "page": "exp-aft", "title": "Exponential AFT parametric family.", "topics": [ "exp-aft", "exp_aft_density", "exp_aft_hazard", "exp_aft_log_density", "exp_aft_log_hazard", "exp_aft_log_survival", "exp_aft_mean", "exp_aft_p", "exp_aft_q", "exp_aft_r", "exp_aft_sd", "exp_aft_survival" ] }, { "page": "extract_flexsurv", "title": "Extract parameter estimates from 'flexsurv' object", "topics": [ "extract_flexsurv" ] }, { "page": "gamma-aft", "title": "Gamma AFT parametric family.", "topics": [ "gamma-aft", "gamma_aft_density", "gamma_aft_hazard", "gamma_aft_log_density", "gamma_aft_log_hazard", "gamma_aft_log_survival", "gamma_aft_mean", "gamma_aft_p", "gamma_aft_q", "gamma_aft_r", "gamma_aft_sd", "gamma_aft_survival" ] }, { "page": "is.RoBSA", "title": "Reports whether x is a RoBSA object", "topics": [ "is.RoBSA" ] }, { "page": "llogis-aft", "title": "Log-logistic AFT parametric family.", "topics": [ "llogis-aft", "llogis_aft_density", "llogis_aft_hazard", "llogis_aft_log_density", "llogis_aft_log_hazard", "llogis_aft_log_survival", "llogis_aft_mean", "llogis_aft_p", "llogis_aft_q", "llogis_aft_r", "llogis_aft_sd", "llogis_aft_survival" ] }, { "page": "lnorm-aft", "title": "Log-normal AFT parametric family.", "topics": [ "lnorm-aft", "lnorm_aft_density", "lnorm_aft_hazard", "lnorm_aft_log_density", "lnorm_aft_log_hazard", "lnorm_aft_log_survival", "lnorm_aft_mean", "lnorm_aft_p", "lnorm_aft_q", "lnorm_aft_r", "lnorm_aft_sd", "lnorm_aft_survival" ] }, { "page": "plot_models", "title": "Models plot for a RoBSA object", "topics": [ "plot_models" ] }, { "page": "plot_prediction", "title": "Survival plots for a RoBSA object", "topics": [ "plot_density", "plot_hazard", "plot_prediction", "plot_survival" ] }, { "page": "plot.RoBSA", "title": "Plots a fitted RoBSA object", "topics": [ "plot.RoBSA" ] }, { "page": "predict.RoBSA", "title": "Predict method for RoBSA objects.", "topics": [ "predict.RoBSA" ] }, { "page": "print.RoBSA", "title": "Prints a fitted RoBSA object", "topics": [ "print.RoBSA" ] }, { "page": "print.summary.RoBSA", "title": "Prints summary object for RoBSA method", "topics": [ "print.summary.RoBSA" ] }, { "page": "prior", "title": "Creates a prior distribution", "topics": [ "prior" ] }, { "page": "prior_factor", "title": "Creates a prior distribution for factors", "topics": [ "prior_factor" ] }, { "page": "prior_informed", "title": "Creates an informed prior distribution based on research", "topics": [ "prior_informed" ] }, { "page": "prior_informed_medicine_names", "title": "Names of medical subfields from the Cochrane database of systematic reviews", "topics": [ "prior_informed_medicine_names" ] }, { "page": "prior_none", "title": "Creates a prior distribution", "topics": [ "prior_none" ] }, { "page": "RoBSA", "title": "Fit Robust Bayesian Survival Analysis", "topics": [ "RoBSA" ] }, { "page": "RoBSA_control", "title": "Control MCMC fitting process", "topics": [ "RoBSA_control", "set_autofit_control", "set_autofit_control,", "set_convergence_checks" ] }, { "page": "RoBSA_options", "title": "Options for the RoBSA package", "topics": [ "RoBSA.get_option", "RoBSA.options", "RoBSA_options" ] }, { "page": "summary.RoBSA", "title": "Summarize fitted RoBSA object", "topics": [ "summary.RoBSA" ] }, { "page": "update.RoBSA", "title": "Updates a fitted RoBSA object", "topics": [ "update.RoBSA" ] }, { "page": "weibull-aft", "title": "Weibull AFT parametric family.", "topics": [ "weibull-aft", "weibull_aft_density", "weibull_aft_hazard", "weibull_aft_log_density", "weibull_aft_log_hazard", "weibull_aft_log_survival", "weibull_aft_mean", "weibull_aft_p", "weibull_aft_q", "weibull_aft_r", "weibull_aft_sd", "weibull_aft_survival" ] } ], "_readme": "https://github.com/cran/RoBSA/raw/HEAD/README.md", "_rundeps": [ "BayesTools", "bridgesampling", "Brobdingnag", "cli", "coda", "cpp11", "extraDistr", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lattice", "lifecycle", "magrittr", "Matrix", "mvtnorm", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "Rdpack", "rjags", "rlang", "runjags", "S7", "scales", "stringi", "stringr", "survival", "vctrs", "viridisLite", "withr" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2604.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary" }, { "shlib": "libjrmath", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2604.0", "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": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2604.0", "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": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_score": 1.6989700043360187, "_indexed": false, "_nocasepkg": "robsa", "_universes": [ "cran" ], "_indexurl": "https://fbartos.r-universe.dev/RoBSA", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-10-27T07:26:03.000Z", "distro": "resolute", "arch": "aarch64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/e3c2ff2efd58af6b4248827d98ef673f1ab7040cc5ac77806c43de3a63f26c09", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-10-27T07:26:16.000Z", "distro": "resolute", "arch": "x86_64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/2271270acf0a713c6619fbee803efe7f1b3e8ab719b4af4cbd00f9805c5a2a47", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.6.1", "os": "linux", "version": "1.0.4", "date": "2026-10-27T07:26:06.000Z", "distro": "resolute", "arch": "aarch64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/ff643c74671022a7bc18ab1ae8101b648b80d683d6fca54e28185a2fefbb2c73", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.6.1", "os": "linux", "version": "1.0.4", "date": "2026-10-27T07:26:14.000Z", "distro": "resolute", "arch": "x86_64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/c700190738da68cec9b5b755824370caa2c8aace18c150b7008a73d344ec693a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.7.0", "os": "win", "version": "1.0.4", "date": "2026-10-27T07:27:33.000Z", "arch": "aarch64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/24c5a8743adabdbbe909ad12f93ea59680c17b1b5aa8807fadbc589e68081424", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.7.0", "os": "win", "version": "1.0.4", "date": "2026-10-27T07:25:31.000Z", "arch": "x86_64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/c6178c709a446d61406a291ba33ed062a1c4f96b4140a991609dc5e669ac1ad4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.6.1", "os": "win", "version": "1.0.4", "date": "2026-10-27T07:27:31.000Z", "arch": "aarch64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/00754c0f5c932ba6aeadb922025aaa723b33f619527f19ffb0ec9af5846cba10", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" }, { "r": "4.6.1", "os": "win", "version": "1.0.4", "date": "2026-10-27T07:25:27.000Z", "arch": "x86_64", "commit": "9d300978c9a717aa1ff715b92ddb36f75ab0aa79", "fileid": "https://r2.ropensci.org/140c4fde5d824328edfe252ce9b643409a06bbb26f15b4e883d1a8baf152d965", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/40466477698" } ] }