rok-cesnovar / stan-distributions
A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan implementations. Uses d3.js for visualizations.
☆44Updated last year
Related projects: ⓘ
- Reimplementation of Stan algorithms☆20Updated 2 years ago
- ☆67Updated last year
- Estimate Parameters for Arbitrary R Functions using 'Stan'☆22Updated 2 months ago
- Monitor MCMC runs in the browser☆36Updated 7 months ago
- ☆51Updated last month
- R-package for building and fitting Bayesian ODE models in Stan☆25Updated last week
- An R package implementing an idiosyncratic Stan workflow☆13Updated 2 years ago
- Material for my proposed StanCon talk☆20Updated 3 years ago
- Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"☆13Updated 2 years ago
- ☆54Updated 2 years ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆38Updated last week
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆74Updated this week
- Tools for Developing R Packages Interfacing with Stan☆51Updated 3 months ago
- Notebooks and data for StanCon2023 tutorial on BRMS☆16Updated last year
- R package for bridge sampling☆31Updated 4 months ago
- ☆25Updated 5 months ago
- The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"☆19Updated this week
- Automatic forecasting and Bayesian modeling for time series with Stan☆44Updated 8 months ago
- Beginner tutorial for using cmdstan with multithreading☆61Updated 4 years ago
- priorsense: an R package for prior diagnostics and sensitivity☆53Updated last week
- Documentation for the Stan language and CmdStan☆38Updated this week
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆14Updated this week
- Average marginal estimates for Bayesian models fit with the brms package☆20Updated 2 years ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆30Updated 2 years ago
- Automatic Differentiation for R☆22Updated 5 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆35Updated 3 years ago
- Pythonic interface to R's brms☆44Updated 2 years ago
- Building a Survival Model in Stan.☆56Updated 11 months ago
- ☆37Updated this week
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆88Updated 2 weeks ago