🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
☆17Sep 21, 2024Updated last year
Alternatives and similar repositories for tmle3shift
Users that are interested in tmle3shift are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 4 years ago
- Comprehensive Cross-Validation Engine☆28May 23, 2026Updated 2 months ago
- Causal machine learning pipeline using tlverse/sl3☆13Apr 17, 2026Updated 3 months ago
- Website and blog for the research group of Mark J. van der Laan☆11Jul 1, 2021Updated 5 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆43Jun 17, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Aug 6, 2022Updated 4 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Dec 8, 2025Updated 8 months ago
- R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling☆14Sep 21, 2024Updated last year
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆25Jul 1, 2026Updated last month
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆21Jun 12, 2020Updated 6 years ago
- Visualization Collider Effect: ShinyApp☆12Dec 18, 2025Updated 7 months ago
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆10Oct 17, 2019Updated 6 years ago
- 🤠 📿 The Highly Adaptive Lasso☆49Nov 19, 2024Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Feb 17, 2026Updated 5 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆15Dec 9, 2024Updated last year
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Apr 7, 2022Updated 4 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Jul 18, 2024Updated 2 years ago
- Targeted Maximum Likelihood Estimation for Network Data☆20Aug 29, 2017Updated 8 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆19May 12, 2026Updated 2 months ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆21Jan 4, 2023Updated 3 years ago
- ☆23Jun 12, 2024Updated 2 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Bioconductor2017 workshop - Analysis of single-cell RNA-seq data: Normalization, dimensionality reduction, clustering, and lineage infere…☆11Aug 4, 2017Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- CausalFX R Package☆13Jun 22, 2015Updated 11 years ago
- Dirichlet-Multinomial Bayesian Variable Selection☆14Jun 13, 2024Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆28Jun 3, 2026Updated 2 months ago
- SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.☆37Apr 17, 2019Updated 7 years ago
- Perform inference on algorithm-agnostic variable importance☆24May 18, 2026Updated 2 months ago
- Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations☆15Nov 24, 2025Updated 8 months ago
- Flexible mediation analysis using natural effect models in R☆25Jun 22, 2023Updated 3 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆62Oct 24, 2024Updated last year
- Causal Discovery in R☆24Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Variable importance through targeted causal inference, with Alan Hubbard☆58Nov 5, 2025Updated 9 months ago
- An R package for nonparametric covariance matrix estimation in high dimensions☆14Feb 17, 2024Updated 2 years ago
- ☆35Jun 18, 2022Updated 4 years ago
- An R package for kernel density estimation with parametric starts and asymmetric kernels.☆17May 5, 2026Updated 3 months ago
- R package that simulates data suitable for fitting Marginal Structural Model.☆13Sep 26, 2022Updated 3 years ago
- Latent Class Trajectory Models: An R Package☆42Dec 1, 2022Updated 3 years ago
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆107Jul 7, 2025Updated last year