forestry-labs / causalToolbox
☆41Updated 2 years ago
Alternatives and similar repositories for causalToolbox:
Users that are interested in causalToolbox are comparing it to the libraries listed below
- Tutorial_Computational_Causal_Inference_Estimators☆32Updated 3 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 4 months ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆16Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- WeightIt: an R package for propensity score weighting☆112Updated 3 weeks ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated last month
- ☆93Updated last year
- DoubleML - Double Machine Learning in R☆141Updated 3 weeks ago
- Sensitivity analysis tools for causal ML☆16Updated 10 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆59Updated 4 years ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆12Updated 6 years ago
- CRAN Task View: Causal Inference☆17Updated 11 months ago
- Implementation of Double Machine Learning☆35Updated last year
- Double Machine Learning for Multiple Treatments☆40Updated 4 years ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆76Updated 11 months ago
- R package mediation☆64Updated last year
- ☆42Updated 3 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- 2SLS Regression with Diagnostics in R☆20Updated 2 months ago
- R package cfcausal☆27Updated 2 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆63Updated 3 weeks ago
- R package DIDdesign: Analyzing Difference-in-Differences Design☆38Updated 10 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 6 months ago
- Suite of sensitivity analysis tools for OLS☆93Updated 4 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆67Updated 2 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago