{"id":19158950,"url":"https://github.com/arnim/bsemws","last_synced_at":"2025-08-18T05:11:50.948Z","repository":{"id":72057731,"uuid":"176321213","full_name":"arnim/BSemWS","owner":"arnim","description":null,"archived":false,"fork":false,"pushed_at":"2019-03-18T16:01:21.000Z","size":30,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-22T22:19:53.756Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arnim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-03-18T15:59:39.000Z","updated_at":"2019-03-18T16:01:23.000Z","dependencies_parsed_at":"2023-03-29T00:49:25.994Z","dependency_job_id":null,"html_url":"https://github.com/arnim/BSemWS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/arnim/BSemWS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arnim%2FBSemWS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arnim%2FBSemWS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arnim%2FBSemWS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arnim%2FBSemWS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arnim","download_url":"https://codeload.github.com/arnim/BSemWS/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arnim%2FBSemWS/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270946068,"owners_count":24672890,"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","status":"online","status_checked_at":"2025-08-18T02:00:08.743Z","response_time":89,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-09T08:45:44.568Z","updated_at":"2025-08-18T05:11:50.908Z","avatar_url":"https://github.com/arnim.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RStan + Binder\n\nYou can try it :\n\n[![Binder](https://notebooks.gesis.org/binder/badge.svg)](https://notebooks.gesis.org/binder/v2/gh/arnim/RStan-Binder/master?urlpath=lab/tree/README.md)\n\n## What is Stan?\n**[Stan](http://mc-stan.org/)** is an probabilistic programming language. Probabilistic programming languages are languages designed to describe probabilistic models as well as perform the necessary inferential computation.\n\u003e Carpenter, Bob, et al. \"Stan: A probabilistic programming language\" in Journal of Statistical Software (2017). DOI [10.18637/jss.v076.i01](http://dx.doi.org/10.18637/jss.v076.i01)\n\n## Examples Notebooks\n1. Bernoulli ([notebook](examples/bernoulli.ipynb) | [model](examples/bernoulli.stan))\n2. Linear Regression ([notebook](examples/linear.ipynb) | [model](examples/linear.stan))\n2. Seven Scientists ([notebook](examples/7scientists.ipynb) | [model](examples/7scientists.stan))\n\n## Further Resources\n* [Bayesian Data Analysis](http://www.stat.columbia.edu/~gelman/book/) by Andrew Gelman et al. ([R](https://github.com/avehtari/BDA_R_demos) or [Python](https://github.com/avehtari/BDA_py_demos))\n* Bayesian Cognitive Modeling ([link](https://bayesmodels.com/))\n* Probabilistic Programming \u0026 Bayesian Methods for Hackers ([link](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/))\n* Bayesian Analysis for the Social Sciences by Simon Jackman ([link](https://www.wiley.com/en-us/Bayesian+Analysis+for+the+Social+Sciences-p-9780470011546))\n* Stan Hands-on with Bob Carpenter ([video](https://www.youtube.com/watch?v=6NXRCtWQNMg))\n\n\n## Other Probabilistic Programming Languages\n* PyMC3 ([link](http://docs.pymc.io/))\n* FACTORIE ([link](http://factorie.cs.umass.edu/))\n* Turing ([link](https://github.com/TuringLang/Turing.jl))\n* Edward ([link](https://github.com/blei-lab/edward))\n* ... and [many more](https://en.wikipedia.org/wiki/Probabilistic_programming_language#List_of_probabilistic_programming_languages)\n\nFurthermore, of historical relevance are [BUGS](https://www.mrc-bsu.cam.ac.uk/software/bugs/) and [JAGS](http://mcmc-jags.sourceforge.net/). 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