We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example models in Stan Modeling Language User's Guide and Reference Manual by Stan Development Team.
☆16Aug 2, 2017Updated 8 years ago
Alternatives and similar repositories for RstanWorkflow
Users that are interested in RstanWorkflow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lander Analytics Bayes/Stan Class 2021☆10Aug 3, 2021Updated 4 years ago
- ☆12Feb 7, 2017Updated 9 years ago
- ☆19Aug 7, 2016Updated 9 years ago
- Presentations from meetups and conferences☆18Sep 4, 2020Updated 5 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆57Mar 25, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Draft introduction to probability and inference aimed at the Stan manual.☆83May 18, 2016Updated 10 years ago
- causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their o…☆47Sep 12, 2025Updated 9 months ago
- a rust implementation of Stan Math library.☆10Mar 10, 2018Updated 8 years ago
- Lucid printing in R☆25Mar 3, 2026Updated 3 months ago
- ☆17Jul 22, 2020Updated 5 years ago
- YouTube course using IPython and Jupyter notebooks to do statistical analysis.☆21Dec 7, 2015Updated 10 years ago
- This repository implements models described in ''Interpretale Word Embeddings via Informative Priors''☆11Aug 29, 2019Updated 6 years ago
- ☆12Jan 30, 2023Updated 3 years ago
- https://mdogucu.github.io/teach-tidyverse☆10Dec 15, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- R package for ttf2pt1- to be used with extrafont package☆14Sep 23, 2025Updated 9 months ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆67Dec 28, 2017Updated 8 years ago
- Visual tools to help machine learning model selection☆15Jun 11, 2021Updated 5 years ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆46Aug 29, 2024Updated last year
- Gaussian process everything - an R package to reimplement and combine common statistical models using GPs☆27Apr 17, 2018Updated 8 years ago
- This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.☆11Jan 3, 2017Updated 9 years ago
- Introductory course in Machine Learning for master students in Statistics at Uppsala University☆19Jan 31, 2026Updated 5 months ago
- Common data manipulations in different languages and frameworks.☆12Jan 31, 2022Updated 4 years ago
- Shiny modules for visualizing tidy metrics☆10Jun 29, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Create a summary readme for the testthat subdirectory to communicate with potential users☆52Feb 13, 2025Updated last year
- Repo for MCMC based Dynamic Topic Model☆16Sep 2, 2017Updated 8 years ago
- Lecture notes from a statistics course I teach at Potsdam☆29Sep 9, 2020Updated 5 years ago
- Lightweight Machine Learning Classics with R (Book Draft)☆16Jun 13, 2022Updated 4 years ago
- A high-level Python wrapper for the Adobe Omniture API.☆23Sep 25, 2013Updated 12 years ago
- Fast generalised linear models by sampling and one-step polishing☆20Sep 23, 2018Updated 7 years ago
- Bayesian generative model for conversation data☆17Oct 14, 2015Updated 10 years ago
- Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…☆15Feb 22, 2018Updated 8 years ago
- Conventionally parameterized probability distributions☆35Sep 17, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Compile time fixed point scalars and n-dimensional arrays for C++17.☆12Feb 18, 2018Updated 8 years ago
- Python package for Model Metric Uncertainty estimation☆17Jun 22, 2026Updated last week
- Stan Jupyter Magic☆11Oct 6, 2018Updated 7 years ago
- Slides for my intro to deep reinforcement learning at Imperial College☆17Apr 8, 2018Updated 8 years ago
- C# model definition for a hidden Markov model using Infer.NET. This code makes it easy to run approximate Bayesian inference over both th…☆23Dec 22, 2014Updated 11 years ago
- Examples from McElreath's Statistical Rethinking, First edition coded in Stan.☆50Apr 1, 2019Updated 7 years ago
- <- Structural Equation Modeling from a broader context.☆33Jan 8, 2019Updated 7 years ago