joshuaschwab / ltmleView external linksLinks
Longitudinal Targeted Maximum Likelihood Estimation package
☆27Apr 17, 2023Updated 2 years ago
Alternatives and similar repositories for ltmle
Users that are interested in ltmle are comparing it to the libraries listed below
Sorting:
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Dec 21, 2025Updated last month
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Jan 4, 2023Updated 3 years ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated this week
- ☆10Nov 30, 2022Updated 3 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Apr 7, 2022Updated 3 years ago
- Comprehensive Cross-Validation Engine☆27Sep 7, 2022Updated 3 years ago
- Combining drake workflows with R package development to train and execute a machine learning model☆14Jun 21, 2020Updated 5 years ago
- Diagnostics for confounding of time-varying and other joint exposures☆11Dec 12, 2022Updated 3 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Nov 5, 2025Updated 3 months ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Feb 9, 2026Updated last week
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Jul 18, 2024Updated last year
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Aug 6, 2022Updated 3 years ago
- CausalFX R Package☆13Jun 22, 2015Updated 10 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆27Apr 5, 2025Updated 10 months ago
- ☆28Mar 30, 2024Updated last year
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25May 24, 2014Updated 11 years ago
- Dependent Delayed Computation☆23Apr 29, 2024Updated last year
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Jul 21, 2024Updated last year
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Jun 26, 2025Updated 7 months ago
- R Installer Package for Pre-Built X-13ARIMA-SEATS Binaries☆11Aug 19, 2025Updated 5 months ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Sep 21, 2024Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Jan 8, 2026Updated last month
- 🎯🎓 Generalized Targeted Learning Framework☆41Jun 17, 2025Updated 7 months ago
- 🤠 📿 The Highly Adaptive Lasso☆49Nov 19, 2024Updated last year
- subsemble R package for ensemble learning on subsets of data☆43Jan 21, 2022Updated 4 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Dec 8, 2025Updated 2 months ago
- Data manipulation tools based on lambda.r☆19Sep 17, 2017Updated 8 years ago
- Graphical Display For Data Frame Output☆17Apr 9, 2025Updated 10 months ago
- Kernel k Nearest Neighbors in R☆17Feb 1, 2026Updated 2 weeks ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆80Jan 20, 2026Updated 3 weeks ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Feb 12, 2024Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Jun 9, 2023Updated 2 years ago
- Rapid Calculation of Model Metrics☆29Jul 2, 2021Updated 4 years ago
- ☆34Jun 18, 2022Updated 3 years ago
- A fast and flexible framework for data reduction in R☆37Nov 10, 2024Updated last year
- R package for calculation of 22 CAnonical Time-series CHaracteristics☆22Oct 3, 2024Updated last year
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆31Nov 28, 2025Updated 2 months ago
- A Toolkit for Calculating and Working with Propensity Scores☆23Aug 24, 2025Updated 5 months ago