πͺ π€ Modern Super Learning with Machine Learning Pipelines
β106Jul 7, 2025Updated 7 months ago
Alternatives and similar repositories for sl3
Users that are interested in sl3 are comparing it to the libraries listed below
Sorting:
- π―π Generalized Targeted Learning Frameworkβ41Jun 17, 2025Updated 8 months ago
- Comprehensive Cross-Validation Engineβ27Sep 7, 2022Updated 3 years ago
- Dependent Delayed Computationβ23Apr 29, 2024Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effectsβ15Jan 8, 2026Updated last month
- R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Samplingβ13Sep 21, 2024Updated last year
- π¦ Your One Stop to Targeted Learning in R with the tlverseβ33Sep 22, 2021Updated 4 years ago
- π€ πΏ The Highly Adaptive Lassoβ49Nov 19, 2024Updated last year
- π― Targeted Learning in R: A Causal Data Science Handbookβ60Oct 24, 2024Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Dataβ41Feb 17, 2026Updated 2 weeks ago
- β10Nov 30, 2022Updated 3 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effectβ28Apr 5, 2025Updated 10 months ago
- Explanations for survival modelsβ15Sep 7, 2022Updated 3 years ago
- scoring rules to evaluate probabilistic forecastsβ64Sep 23, 2025Updated 5 months ago
- Dimension reduction for outlier detectionβ13Aug 25, 2022Updated 3 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis testsβ20Jan 4, 2023Updated 3 years ago
- Targeted Learning for Survival Analysisβ23Nov 19, 2023Updated 2 years ago
- Bayesian Inference of Complex Panel Dataβ37Feb 1, 2026Updated last month
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimationβ18Sep 6, 2025Updated 5 months ago
- estimatr: Fast Estimators for Design-Based Inferenceβ133Jan 2, 2026Updated 2 months ago
- densenet for Rβ11May 4, 2018Updated 7 years ago
- Fast and lightweight R6 parameter interfaceβ12Aug 28, 2022Updated 3 years ago
- Current version of the SuperLearner R packageβ286Dec 15, 2025Updated 2 months ago
- Longitudinal Targeted Maximum Likelihood Estimation packageβ27Apr 17, 2023Updated 2 years ago
- R6 object-oriented interface for probability distributions.β103Sep 3, 2024Updated last year
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β27Apr 7, 2022Updated 3 years ago
- Integration and other testing for tidymodelsβ22Updated this week
- Build machine learning models in R like using python's scikit-learn libraryβ33Feb 18, 2024Updated 2 years ago
- Vectorised distributions for Rβ109Jan 28, 2026Updated last month
- Construct Modeling Packagesβ108Nov 23, 2025Updated 3 months ago
- An R package for tidy stacked ensemble modelingβ302Oct 22, 2025Updated 4 months ago
- π― π― Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Interventionβ13Aug 6, 2022Updated 3 years ago
- Code-generate C++ from Rβ64Updated this week
- R package cfcausalβ33Dec 6, 2022Updated 3 years ago
- Tidy methods for measuring model performanceβ398Feb 12, 2026Updated 2 weeks ago
- Tidy methods for Bayesian treatment effect modelsβ18Dec 8, 2025Updated 2 months ago
- Rapid Calculation of Model Metricsβ29Jul 2, 2021Updated 4 years ago
- https://tmastny.github.io/leadr/β25May 28, 2018Updated 7 years ago
- Tools for creating tuning parameter valuesβ116Feb 24, 2026Updated last week
- Graphical Display For Data Frame Outputβ17Apr 9, 2025Updated 10 months ago