mitzimorris / StanCon2023_brms_tutorial
Notebooks and data for StanCon2023 tutorial on BRMS
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for StanCon2023_brms_tutorial
- HMC and other derivative-based MCMC sampling algorithms for the nimble package☆13Updated 2 months ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆40Updated 2 months ago
- Estimate Parameters for Arbitrary R Functions using 'Stan'☆24Updated 4 months ago
- Reimplementation of Stan algorithms☆20Updated 2 years ago
- A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…☆44Updated 2 years ago
- Monitor MCMC runs in the browser☆36Updated 9 months ago
- Fit stochastic differential equation models with time-varying parameters☆15Updated 5 months ago
- ☆54Updated last month
- Automatic forecasting and Bayesian modeling for time series with Stan☆44Updated 10 months ago
- Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}☆36Updated 4 months ago
- ☆70Updated last year
- An R package for NUTS sampling using ADMB☆23Updated 3 months ago
- An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.☆15Updated this week
- Describes a method for monitoring MCMC convergence using ML☆8Updated 4 years ago
- ☆54Updated 2 years ago
- ☆30Updated 9 months ago
- ☆75Updated last year
- ☆36Updated 3 years ago
- Joint modeling multivariate longitudinal and time-to-event outcomes with INLA☆17Updated last month
- Towards a more flexible BART☆22Updated 3 months ago
- A large set of JAGS examples using R☆91Updated last year
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 2 months ago
- "Swappable Module" compiler for the Stan probabilistic programming language.☆13Updated last year
- R package to perform Bayesian regularization using Stan.☆25Updated 2 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆49Updated 5 months ago
- Spatial capture-recapture models in Stan☆22Updated 4 years ago
- Material for my proposed StanCon talk☆20Updated 4 years ago
- Average marginal estimates for Bayesian models fit with the brms package☆20Updated 2 years ago
- Examples on INLA within MCMC☆11Updated 7 years ago
- Tools for Developing R Packages Interfacing with Stan☆51Updated this week