{"id":29625198,"url":"https://github.com/novartis/rbest","last_synced_at":"2025-07-21T06:07:37.463Z","repository":{"id":65614245,"uuid":"595770356","full_name":"Novartis/RBesT","owner":"Novartis","description":"Tool-set to support Bayesian evidence synthesis in R","archived":false,"fork":false,"pushed_at":"2025-05-13T13:20:49.000Z","size":16588,"stargazers_count":23,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-07-14T03:38:35.869Z","etag":null,"topics":["bayesian","clinical","historical-data","meta-analysis"],"latest_commit_sha":null,"homepage":"https://opensource.nibr.com/RBesT/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Novartis.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-01-31T19:21:03.000Z","updated_at":"2025-04-25T18:38:10.000Z","dependencies_parsed_at":"2023-10-11T09:01:30.575Z","dependency_job_id":"f46108da-5725-4e31-9ede-8b277b481948","html_url":"https://github.com/Novartis/RBesT","commit_stats":{"total_commits":33,"total_committers":2,"mean_commits":16.5,"dds":"0.030303030303030276","last_synced_commit":"fba938480b16dee9f1f47736854bbbcf84d5c7fa"},"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"purl":"pkg:github/Novartis/RBesT","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Novartis%2FRBesT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Novartis%2FRBesT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Novartis%2FRBesT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Novartis%2FRBesT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Novartis","download_url":"https://codeload.github.com/Novartis/RBesT/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Novartis%2FRBesT/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266248501,"owners_count":23899056,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bayesian","clinical","historical-data","meta-analysis"],"created_at":"2025-07-21T06:07:36.884Z","updated_at":"2025-07-21T06:07:37.453Z","avatar_url":"https://github.com/Novartis.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RBesT: R Bayesian evidence synthesis tools\n\nTool-set to support Bayesian evidence synthesis. This includes\nmeta-analysis, (robust) prior derivation from historical data,\noperating characteristics and analysis (1 and 2 sample cases). Please\nrefer to [Weber et al. (2021)](https://doi.org/10.18637/jss.v100.i19)\nfor details on applying this package while [Neuenschwander et\nal. (2010)](https://doi.org/10.1177/1740774509356002) and [Schmidli et\nal. (2014)](https://doi.org/10.1111/biom.12242) explain details on the\nmethodology.\n\n\n## Getting Started\n\nTo get a quick overview over the package functionality, please refer\nto the introductory [vignettes](https://opensource.nibr.com/RBesT/articles/index.html). We recommend\nstarting with the [Getting started with `RBesT`\n(binary)](https://opensource.nibr.com/RBesT/articles/introduction.html) vignette as a first read.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnovartis%2Frbest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnovartis%2Frbest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnovartis%2Frbest/lists"}