kapelner / bartMachine
An R-Java Bayesian Additive Regression Trees implementation
☆63Updated last year
Alternatives and similar repositories for bartMachine:
Users that are interested in bartMachine are comparing it to the libraries listed below
- Discrete Bayesian Additive Regression Trees Sampler☆58Updated 2 weeks ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 7 months ago
- ☆31Updated 2 years ago
- Projection predictive variable selection☆111Updated this week
- ☆94Updated last year
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 6 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated 10 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆61Updated 4 years ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆42Updated 7 months ago
- ☆31Updated 3 months ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆44Updated 7 months ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).☆30Updated 7 years ago
- Dockerfiles with rstan and CmdStan☆24Updated 6 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 4 months ago
- Implementation of B-Splines in Stan☆51Updated 7 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 2 weeks ago
- The xyz algorithm for fast interaction search in high-dimensional data.☆13Updated 7 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 9 months ago
- ☆42Updated 3 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆74Updated 5 months ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- Translating ML into Bayes, one line at a time☆78Updated last year
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 2 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 years ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Beginner tutorial for using cmdstan with multithreading☆62Updated 5 years ago