soerenkuenzel / forestry
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for forestry
- ☆31Updated 2 years ago
- This the repository for the Spring Causal Inference Course☆41Updated 5 years ago
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 3 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 3 months ago
- Optimized regression discontinuity designs☆28Updated last year
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆15Updated last month
- An R package for estimating controlled direct effects.☆18Updated last month
- Inference in instrumental variables models robust to many instruments☆11Updated 3 years ago
- R package cfcausal☆26Updated last year
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆15Updated 4 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆17Updated 2 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆33Updated 3 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated 10 months ago
- Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.☆42Updated 7 years ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 5 years ago
- Randomization inference tools for R☆17Updated last week
- Code for Causal Inference: The Mixtape by Scott Cunningham☆27Updated 6 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆19Updated last year
- Methods for heterogeneous treatment effect estimation☆23Updated 2 years ago
- ☆16Updated 3 years ago
- ☆21Updated 7 months ago
- Sensitivity analysis tools for causal ML☆12Updated 5 months ago
- Gamma lasso regression☆22Updated last year
- ☆20Updated 6 years ago
- Randomization Inference for Randomized Experiments☆12Updated 3 months ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 4 months ago
- Calculating Marginal Effects and Levels with Errors Using the Delta Method☆17Updated 3 years ago