MaggieLieu / STAN_tutorialsLinks
☆31Updated 5 years ago
Alternatives and similar repositories for STAN_tutorials
Users that are interested in STAN_tutorials are comparing it to the libraries listed below
Sorting:
- Draft introduction to probability and inference aimed at the Stan manual.☆83Updated 9 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 4 years ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated last year
- ☆78Updated 2 months ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆67Updated 5 years ago
- A complete environment for Bayesian inference within R☆96Updated last year
- ☆30Updated last year
- Case studies in applied and computational statistics.☆39Updated 6 months ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Beginner tutorial for using cmdstan with multithreading☆62Updated 5 years ago
- KFAS: R Package for Exponential Family State Space Models☆71Updated 6 months ago
- Inference case studies in knitr☆171Updated 3 years ago
- Documentation for the Stan language and CmdStan☆41Updated 3 weeks ago
- Multivariate Autoregressive State-Space Modeling with R☆53Updated 2 months ago
- Stan models for state space time series☆146Updated 8 years ago
- Implementation of B-Splines in Stan☆51Updated 8 years ago
- Examples from McElreath's Statistical Rethinking, First edition coded in Stan.☆50Updated 6 years ago
- StanCon2018 Helsinki Tutorial☆30Updated 6 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆48Updated 7 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Full Bayesian Inference for Hidden Markov Models☆43Updated 6 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated last year
- Bayesian Inference of State Space Models☆47Updated 2 months ago
- ☆81Updated 2 years ago
- Automatic forecasting and Bayesian modeling for time series with Stan☆46Updated 6 months ago
- ☆56Updated 3 years ago
- Building a Survival Model in Stan.☆57Updated 2 years ago
- ☆37Updated 4 years ago
- R package np (Nonparametric Kernel Smoothing Methods for Mixed Data Types)☆48Updated 9 months ago