ck37 / superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
☆37Updated 6 years ago
Alternatives and similar repositories for superlearner-guide
Users that are interested in superlearner-guide are comparing it to the libraries listed below
Sorting:
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆24Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆39Updated 6 months ago
- ☆24Updated 5 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Targeted Learning for Survival Analysis☆21Updated last year
- This repository holds presentations that were given at Bay Area useR Group meeitngs☆31Updated 3 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated last month
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:☆28Updated 5 years ago
- Comprehensive Cross-Validation Engine☆27Updated 2 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- Targeted Maximum Likelihood Estimation for Network Data☆20Updated 7 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆25Updated 3 weeks ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- This the repository for the Spring Causal Inference Course☆43Updated 5 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years ago
- Quick Generalized Full Matching in R☆11Updated last year
- Stan website built using Quarto, theming in repo quarto-config☆20Updated 2 weeks ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- R package experiment☆14Updated 3 years ago
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆9Updated 5 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 4 years ago
- MachineShop: R package of models and tools for machine learning☆62Updated 8 months ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆57Updated 6 years ago
- A sensitivity analysis package for causal effects☆11Updated last year
- recommendations for creating R modeling packages☆41Updated 3 years ago
- Examples of working and non-working models, initially for ODCS 2016 in Boston.☆11Updated 8 years ago
- Rapid Calculation of Model Metrics☆30Updated 3 years ago