https://github.com/arnim/rstan-binder
Files for running RStan on Binder
https://github.com/arnim/rstan-binder
binder binder-ready r stan
Last synced: 5 months ago
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Files for running RStan on Binder
- Host: GitHub
- URL: https://github.com/arnim/rstan-binder
- Owner: arnim
- Created: 2018-06-21T10:39:58.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2022-11-07T10:26:01.000Z (almost 3 years ago)
- Last Synced: 2025-04-19T20:53:43.716Z (6 months ago)
- Topics: binder, binder-ready, r, stan
- Language: R
- Homepage:
- Size: 32.2 KB
- Stars: 1
- Watchers: 2
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# RStan + Binder
You can try it :
[](https://notebooks.gesis.org/binder/v2/gh/arnim/RStan-Binder/master?urlpath=lab/tree/README.md)
## What is Stan?
**[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.
> 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)
## Examples Notebooks
1. Bernoulli ([notebook](examples/bernoulli.ipynb) | [model](examples/bernoulli.stan))
2. Linear Regression ([notebook](examples/linear.ipynb) | [model](examples/linear.stan))
2. Seven Scientists ([notebook](examples/7scientists.ipynb) | [model](examples/7scientists.stan))
## Further Resources
* [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))
* Bayesian Cognitive Modeling ([link](https://bayesmodels.com/))
* Probabilistic Programming & Bayesian Methods for Hackers ([link](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/))
* Bayesian Analysis for the Social Sciences by Simon Jackman ([link](https://www.wiley.com/en-us/Bayesian+Analysis+for+the+Social+Sciences-p-9780470011546))
## Other Probabilistic Programming Languages
* PyMC3 ([link](http://docs.pymc.io/))
* FACTORIE ([link](http://factorie.cs.umass.edu/))
* Turing ([link](https://github.com/TuringLang/Turing.jl))
* Edward ([link](https://github.com/blei-lab/edward))
* ... and [many more](https://en.wikipedia.org/wiki/Probabilistic_programming_language#List_of_probabilistic_programming_languages)
Furthermore, of historical relevance are [BUGS](https://www.mrc-bsu.cam.ac.uk/software/bugs/) and [JAGS](http://mcmc-jags.sourceforge.net/).
---
Funded by the German Research Foundation (DFG).
FKZ/project number:
[324867496](https://gepris.dfg.de/gepris/projekt/324867496?context=projekt&task=showDetail&id=324867496&).