socket778 / XBCFLinks
R and python implementations of Accelerated Bayesian Causal Forest.
☆25Updated last year
Alternatives and similar repositories for XBCF
Users that are interested in XBCF are comparing it to the libraries listed below
Sorting:
- Bayesian Causal Forests☆48Updated last year
- R package cfcausal☆32Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- ☆95Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆67Updated 4 years ago
- Causal Inference using Bayesian Additive Regression Trees☆81Updated last week
- ☆20Updated last year
- ☆42Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 5 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 4 years ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated 11 months ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 3 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 8 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 6 months ago
- ☆34Updated 3 years ago
- Distributional Random Forests (Cevid et al., 2020)☆44Updated 2 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Implementation of GP-BART algorithm.☆16Updated last year
- Discrete Bayesian Additive Regression Trees Sampler☆59Updated 4 months ago
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆27Updated this week
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆83Updated 2 weeks ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆18Updated 5 years ago
- ☆16Updated 3 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Implementing MCMC sampling from scratch in R for various Bayesian models☆109Updated last year
- ☆31Updated 2 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 11 months ago
- Convolution-type Smoothed Quantile Regression☆22Updated 2 years ago
- A sensitivity analysis package for causal effects☆12Updated last year