HugoMetric / causalweight
causalweight: An R Package for Causal Inference and Mediation Analysis
☆12Updated 6 years ago
Alternatives and similar repositories for causalweight:
Users that are interested in causalweight are comparing it to the libraries listed below
- CRAN Task View: Causal Inference☆17Updated last year
- lmw: Linear Model Weights☆11Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- Publicly available code from my publications☆13Updated this week
- Tutorial_Computational_Causal_Inference_Estimators☆34Updated 3 years ago
- A suite of programs to support Stata visualization customizations.☆11Updated last month
- Sensitivity analysis tools for causal ML☆16Updated last week
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- 2SLS Regression with Diagnostics in R☆21Updated 3 months ago
- Causal-inference oriented doctoral econometrics course at UO☆16Updated last year
- R package DIDdesign: Analyzing Difference-in-Differences Design☆38Updated 11 months ago
- Stata command for the 4-way decomposition using parametric regression models☆15Updated 3 years ago
- Course notes on causal inference☆17Updated this week
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 2 months ago
- R package to implement nonlinear, interaction models with variable selection☆10Updated 4 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 2 months ago
- Tutorial on the implementation of difference-in-difference analyses for estimating the effect of a group-level treatment among the treate…☆13Updated last year
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Multiple Treatment Effects Regression☆16Updated 4 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 5 months ago
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…☆23Updated last year
- Specification test for the propensity score☆13Updated 2 years ago
- Implementation of Double Machine Learning☆35Updated 3 weeks ago
- Code for DID chapter☆11Updated last year
- Machine Learning Estimation of Heterogeneous Causal Effects☆24Updated 3 years ago
- NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendi…☆21Updated 2 years ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆76Updated 3 weeks ago
- ☆18Updated 2 years ago
- Profiling Compliers and Non-compliers for Instrumental Variable Analysis☆13Updated 2 years ago