santikka / causaleffectLinks
causaleffect: R package for identifying causal effects.
☆36Updated 2 months ago
Alternatives and similar repositories for causaleffect
Users that are interested in causaleffect are comparing it to the libraries listed below
Sorting:
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 2 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Bayesian Inference of Complex Panel Data☆35Updated 4 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Updated 3 years ago
- R package cfcausal☆33Updated 2 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆26Updated 7 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆31Updated 9 months ago
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 5 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 4 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 8 months ago
- How to use EconML within R☆12Updated 6 years ago
- ☆20Updated 7 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Longitudinal Targeted Maximum Likelihood Estimation package☆26Updated 2 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated last month
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 6 years ago
- Estimation of Time-Varying k-order Mixed Graphical Models☆30Updated 8 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- Bayesian DFA with Stan☆29Updated 6 months ago
- Simulate Survival Data☆24Updated 4 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- Rlgt is an R package for Bayesian Exponential Smoothing☆22Updated 7 months ago
- Synthetic controls for micro-level data☆16Updated 6 months ago
- Discrete Bayesian Additive Regression Trees Sampler☆60Updated last month
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- ☆27Updated last year
- R Code for Causal Inference by Hernán and Robins☆22Updated 4 years ago