carloscinelli / dml.sensemakrLinks
Sensitivity analysis tools for causal ML
☆17Updated 2 weeks ago
Alternatives and similar repositories for dml.sensemakr
Users that are interested in dml.sensemakr are comparing it to the libraries listed below
Sorting:
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 6 months ago
- 2SLS Regression with Diagnostics in R☆21Updated 4 months ago
- Optimized regression discontinuity designs☆29Updated 2 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- lmw: Linear Model Weights☆11Updated last year
- Suite of sensitivity analysis tools for OLS☆94Updated 6 months ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 3 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆62Updated 4 years ago
- Implementation of Double Machine Learning☆35Updated last month
- CRAN Task View: Causal Inference☆17Updated last year
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- How to use EconML within R☆12Updated 5 years ago
- Bayesian DFA with Stan☆29Updated 2 weeks ago
- ☆16Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 4 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 5 years ago
- Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates☆37Updated 2 months ago
- R package cfcausal☆27Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- Multiple Treatment Effects Regression☆16Updated 5 months ago
- ddml: Double/Debiased Machine Learning in R☆19Updated last month
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…☆23Updated 2 years ago
- Demo use of Neural Networks for Longitudinal Data Analysis☆32Updated 5 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 5 months ago
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- statespacer: State Space Modelling in R☆15Updated 2 years ago
- Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"☆18Updated 11 months ago