jaredsmurray / bcfLinks
Bayesian Causal Forests
☆50Updated last year
Alternatives and similar repositories for bcf
Users that are interested in bcf are comparing it to the libraries listed below
Sorting:
- ☆96Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- R package cfcausal☆33Updated 3 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 4 months ago
- ☆44Updated 4 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- ☆22Updated last year
- ☆48Updated 2 years ago
- ☆32Updated 2 months ago
- Distributional Random Forests (Cevid et al., 2020)☆45Updated last week
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆30Updated last week
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated last year
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Discrete Bayesian Additive Regression Trees Sampler☆61Updated 2 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 4 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- ☆93Updated last year
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated last year
- Double Machine Learning for Multiple Treatments☆41Updated 5 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 9 months ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago