till-tietz / rcfLinks
heterogeneous treatment effect estimation with causal forests
☆12Updated 2 years ago
Alternatives and similar repositories for rcf
Users that are interested in rcf are comparing it to the libraries listed below
Sorting:
- WeightIt: an R package for propensity score weighting☆117Updated last month
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 9 months ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆13Updated 6 years ago
- R package mediation☆68Updated 3 months ago
- DoubleML - Double Machine Learning in R☆151Updated 5 months ago
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last week
- ☆47Updated 2 years ago
- CRAN Task View: Causal Inference☆17Updated last year
- Publicly available code from my publications 📝☆16Updated last month
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆78Updated 3 weeks ago
- Sensitivity analysis tools for causal ML☆18Updated last week
- An R package for extracting results from mixed models that are easy to use and viable for presentation.☆70Updated 2 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 6 months ago
- Causal Inference: What If. R and Stata code for Exercises☆90Updated 3 months ago
- Simulate Joint Longitudinal and Survival Data☆15Updated 7 years ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 7 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated 10 months ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆13Updated 9 months ago
- 🤠 📿 The Highly Adaptive Lasso☆49Updated 9 months ago
- R package for risk regression and prediction with censored data☆51Updated last week
- ☆21Updated 8 months ago
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆53Updated 2 years ago
- An R package for conducting sensitivity analyses for unmeasured confounders☆41Updated last year
- A suite of functions for reproducible causal mediation analyses☆63Updated 6 months ago
- R package for missing-data imputation with deep learning☆34Updated last year
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated 3 weeks ago
- Suite of sensitivity analysis tools for OLS☆95Updated 10 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last week
- Fast multivariate imputation by random forests.☆71Updated 5 months ago