forestry-labs / causalToolboxLinks
☆47Updated 2 years ago
Alternatives and similar repositories for causalToolbox
Users that are interested in causalToolbox are comparing it to the libraries listed below
Sorting:
- DoubleML - Double Machine Learning in R☆152Updated 6 months ago
- ☆95Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 11 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆67Updated 5 years ago
- WeightIt: an R package for propensity score weighting☆117Updated last month
- Causal Inference: What If. R and Stata code for Exercises☆90Updated 4 months ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆79Updated 2 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Suite of sensitivity analysis tools for OLS☆95Updated 11 months ago
- ☆44Updated 4 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆14Updated last month
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Double Machine Learning for Multiple Treatments☆41Updated 4 years ago
- R package mediation☆69Updated 4 months ago
- heterogeneous treatment effect estimation with causal forests☆12Updated 2 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆117Updated 4 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 2 months ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆14Updated 6 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated last week
- R package cfcausal☆33Updated 2 years ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆70Updated 9 months ago
- Implementation of Double Machine Learning☆36Updated 6 months ago
- Publicly available code from my publications 📝☆17Updated last week
- Tutorial_Computational_Causal_Inference_Estimators☆37Updated 3 years ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆181Updated 4 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆31Updated 8 months ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆17Updated last year
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆14Updated 10 months ago