soerenkuenzel / hteLinks
☆34Updated 3 years ago
Alternatives and similar repositories for hte
Users that are interested in hte are comparing it to the libraries listed below
Sorting:
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆19Updated 5 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 8 months ago
- Targeted Learning for Survival Analysis☆23Updated last year
- Longitudinal Targeted Maximum Likelihood Estimation package☆26Updated 2 years ago
- ☆26Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 3 months ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 4 months ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 3 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated last month
- R package cfcausal☆33Updated 2 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 6 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆14Updated last month
- Methods for heterogeneous treatment effect estimation☆24Updated 3 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 11 months ago
- ☆44Updated 4 years ago
- Discrete Bayesian Additive Regression Trees Sampler☆59Updated 2 weeks ago
- ☆95Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Targeted Maximum Likelihood Estimation for Network Data☆20Updated 8 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated 2 weeks ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- Statistical Inference for Random Forests☆19Updated 6 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆14Updated 10 months ago