lihualei71 / cfcausal
R package cfcausal
☆27Updated 2 years ago
Alternatives and similar repositories for cfcausal:
Users that are interested in cfcausal are comparing it to the libraries listed below
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆17Updated last week
- 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 2 months ago
- Sensitivity analysis tools for causal ML☆14Updated 8 months ago
- ☆16Updated 3 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last year
- ☆14Updated 8 months ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆16Updated last month
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆24Updated 4 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 3 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆59Updated 4 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- ☆10Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Updated 11 months ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 7 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated 10 months ago
- ☆93Updated last year
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆12Updated 2 years ago
- Optimized regression discontinuity designs☆29Updated 2 years ago
- Bayesian Causal Forests☆41Updated 9 months ago
- ☆31Updated 2 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 4 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Double Machine Learning for Multiple Treatments☆39Updated 4 years ago
- Synthetic controls for micro-level data☆16Updated last year
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆23Updated 3 months ago
- ☆42Updated 3 years ago