vdorie / stan4bartLinks
Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
☆43Updated last year
Alternatives and similar repositories for stan4bart
Users that are interested in stan4bart are comparing it to the libraries listed below
Sorting:
- Material for my proposed StanCon talk☆20Updated 4 years ago
- Tools for Developing R Packages Interfacing with Stan☆50Updated last week
- priorsense: an R package for prior diagnostics and sensitivity☆64Updated 3 weeks ago
- ☆61Updated this week
- ☆32Updated 7 months ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 4 years ago
- Automatic forecasting and Bayesian modeling for time series with Stan☆46Updated 3 months ago
- Variational Generalized Linear Mixed Effects Regression☆19Updated 2 months ago
- Average marginal estimates for Bayesian models fit with the brms package☆20Updated 7 months ago
- Bayesian DFA with Stan☆29Updated 3 months ago
- Discrete Bayesian Additive Regression Trees Sampler☆59Updated 5 months ago
- GLMMs with adaptive Gaussian quadrature☆62Updated 6 months ago
- Examples from McElreath's Statistical Rethinking, First edition coded in Stan.☆50Updated 6 years ago
- Gaussian process modeling in R☆16Updated 2 years ago
- Hierarchical continuous time state space modelling☆42Updated last month
- A large set of JAGS examples using R☆98Updated 2 years ago
- Translating ML into Bayes, one line at a time☆81Updated 2 years ago
- R package for bridge sampling☆32Updated this week
- R package for resampling multilevel models☆38Updated last year
- Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}☆41Updated 5 months ago
- Bindings for Bayesian TidyModels☆47Updated this week
- Building a Survival Model in Stan.☆57Updated last year
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated 3 weeks ago
- Density, probability, quantile and random number generation functions for the truncated normal distribution.☆25Updated 2 years ago
- Fast Effect Plots in R☆21Updated 2 months ago
- Machine learning explanations☆23Updated 5 months ago
- An R package for extracting results from mixed models that are easy to use and viable for presentation.☆70Updated 2 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- R package for missing-data imputation with deep learning☆34Updated last year
- Tidyverse-friendly simulations and power analysis☆44Updated 11 months ago