saberpowers / causalLearning
Methods for heterogeneous treatment effect estimation
☆22Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for causalLearning
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 3 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated this week
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆73Updated 7 months ago
- ☆42Updated 3 years ago
- ☆31Updated 2 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆58Updated 2 weeks ago
- miceRanger: Fast Imputation with Random Forests in R☆67Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆35Updated last week
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated 9 months ago
- ☆21Updated 7 months ago
- Causal Inference using Bayesian Additive Regression Trees☆78Updated last month
- Piece-wise exponential Additive Mixed Modeling tools☆47Updated last month
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last year
- Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.☆42Updated 7 years ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆30Updated last year
- Processing data from the Early Childhood Longitudinal Study (ECLS)☆30Updated 4 months ago
- Suite of sensitivity analysis tools for OLS☆90Updated 2 months ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- CRAN Task View: Causal Inference☆16Updated 6 months ago
- Discrete Bayesian Additive Regression Trees Sampler☆56Updated 2 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆60Updated this week
- Heterogeneous Treatment Effects☆16Updated 2 years ago
- Sensitivity analysis tools for causal ML☆12Updated 5 months ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year
- WeightIt: an R package for propensity score weighting☆102Updated this week
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆17Updated last month
- R package cfcausal☆26Updated last year
- Translating ML into Bayes, one line at a time☆75Updated last year
- Targeted Learning for Survival Analysis☆20Updated 11 months ago