yqzhong7 / AIPWLinks
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
☆26Updated 8 months ago
Alternatives and similar repositories for AIPW
Users that are interested in AIPW are comparing it to the libraries listed below
Sorting:
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Updated 3 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 3 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Updated 2 weeks ago
- ☆28Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Updated 3 months ago
- Longitudinal Mediation with Modified Treatment Policies☆12Updated 3 months ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 4 years ago
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…☆27Updated 2 years ago
- R package cfcausal☆33Updated 3 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆33Updated 10 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 10 months ago
- ☆20Updated 7 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated last year
- R packages for Bayesian Nonparametrics☆16Updated this week
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Longitudinal Targeted Maximum Likelihood Estimation package☆27Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 6 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 6 months ago
- How to use EconML within R☆12Updated 6 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆15Updated last year
- ☆22Updated last year
- Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"☆15Updated 4 years ago
- Code for the R package "EValue" and GUI website.☆15Updated 5 months ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Updated 3 years ago
- Targeted Learning for Survival Analysis☆23Updated 2 years ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆14Updated 6 years ago
- ☆17Updated 4 years ago
- Tutorials on Stan for Bayesian causal inference☆19Updated 6 months ago
- Bayesian inference from binary causal models☆29Updated 2 weeks ago