Idealstan
idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Stan | 2,484 | 3 months ago | 165 | bsd-3-clause | C++ | |||||
| Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details. | ||||||||||
| Orbit | 1,776 |  | 1 | 3 months ago | 21 | January 29, 2023 | 54 | other | Python | |
| A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. | ||||||||||
| Bda_py_demos | 851 | 2 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Bayesian Data Analysis demos for Python | ||||||||||
| Example Models | 745 | 4 months ago | 52 | HTML | ||||||
| Example models for Stan | ||||||||||
| Tidybayes | 689 | 7 | 11 | 8 months ago | 14 | March 14, 2023 | 43 | gpl-3.0 | R | |
| Bayesian analysis + tidy data + geoms (R package) | ||||||||||
| Statistical Rethinking With Python And Pymc3 | 674 | 6 years ago | 2 | Jupyter Notebook | ||||||
| Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath | ||||||||||
| Bda_r_demos | 538 | 4 months ago | 1 | bsd-3-clause | HTML | |||||
| Bayesian Data Analysis demos for R | ||||||||||
| Rainier | 418 | 5 | 3 years ago | 8 | October 18, 2021 | 29 | apache-2.0 | Scala | ||
| Bayesian inference in Scala. | ||||||||||
| Bayesplot | 402 | 3 months ago | 57 | gpl-3.0 | R | |||||
| bayesplot R package for plotting Bayesian models | ||||||||||
| Rstanarm | 371 | 3 months ago | 156 | gpl-3.0 | R | |||||
| rstanarm R package for Bayesian applied regression modeling | ||||||||||
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