fbargaglistoffi / BCF-IV
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
☆16Updated last year
Alternatives and similar repositories for BCF-IV:
Users that are interested in BCF-IV are comparing it to the libraries listed below
- ☆41Updated 2 years ago
- heterogeneous treatment effect estimation with causal forests☆12Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 5 months ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆76Updated last week
- Non-parametric Causal Effects Based on Modified Treatment Policies☆64Updated this week
- Tutorial_Computational_Causal_Inference_Estimators☆33Updated 3 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆61Updated 4 years ago
- WeightIt: an R package for propensity score weighting☆112Updated 2 weeks ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- ☆94Updated last year
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- Sensitivity analysis tools for causal ML☆16Updated last week
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 7 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 2 months ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆68Updated 9 months ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆39Updated 5 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 3 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 6 months ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 5 years ago
- R package cfcausal☆27Updated 2 years ago
- Bayesian Causal Forests☆43Updated 11 months ago
- Implementation of Double Machine Learning☆35Updated last week
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 7 months ago
- DoubleML - Double Machine Learning in R☆144Updated last week
- 🤠 📿 The Highly Adaptive Lasso☆50Updated 5 months ago
- This the repository for the Spring Causal Inference Course☆42Updated 5 years ago