Larsvanderlaan / hte3Links
Causal machine learning pipeline using tlverse/sl3
☆12Updated last year
Alternatives and similar repositories for hte3
Users that are interested in hte3 are comparing it to the libraries listed below
Sorting:
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last week
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆13Updated 7 months ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 5 months ago
- ☆25Updated last year
- Super learner fitting and prediction using mlr3☆10Updated 4 months ago
- Longitudinal Mediation with Modified Treatment Policies☆12Updated last month
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 2 weeks ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 2 weeks ago
- ☆9Updated 8 years ago
- ☆21Updated 6 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 7 months ago
- 🎯🎓 Generalized Targeted Learning Framework☆40Updated 3 weeks ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆13Updated 2 years ago
- Targeted Learning for Survival Analysis☆23Updated last year
- R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis☆30Updated last year
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated last week
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 4 months ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆17Updated 5 years ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆13Updated 6 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆25Updated 3 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆26Updated 3 months ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- An R package for generalised survival models☆27Updated last month
- Non-parametric Causal Effects Based on Modified Treatment Policies☆68Updated 3 weeks ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 5 months ago
- High dimensional propensity score algorithm in R☆30Updated 7 years ago
- R package for fitting joint models to time-to-event and longitudinal data☆18Updated 6 months ago
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆50Updated 2 years ago