ck37 / superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
☆36Updated 5 years ago
Related projects: ⓘ
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year
- Define Stan models using glmer-style (lme4) formulas☆55Updated 10 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last year
- subsemble R package for ensemble learning on subsets of data☆43Updated 2 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆55Updated 5 years ago
- ☆23Updated 4 years ago
- Targeted Learning for Survival Analysis☆20Updated 10 months ago
- 🎯🎓 Generalized Targeted Learning Framework☆34Updated 6 months ago
- MachineShop: R package of models and tools for machine learning☆62Updated last month
- ☆31Updated 2 years ago
- Conditional autoregressive models in Stan☆32Updated last year
- A collection of RStudio style cheatsheets for the Stan ecosystem☆58Updated 4 years ago
- Examples and data from Gelman & Hill 2007☆20Updated 6 years ago
- Stan website based on the So Simple Jekyll theme.☆19Updated 2 weeks ago
- This repository holds presentations that were given at Bay Area useR Group meeitngs☆31Updated 2 years ago
- Tools for doing statistical inference using data plots☆56Updated 2 months ago
- ☆38Updated 6 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆25Updated 5 years ago
- Course material for Advanced Spatial Statistics taught at JHU biostat 3rd term 2017-18☆40Updated 5 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
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 6 years ago
- Comprehensive Cross-Validation Engine☆27Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆15Updated 4 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆32Updated 3 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆24Updated 6 years ago
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Updated 4 years ago
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆45Updated last month
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆41Updated 4 years ago
- Quick Generalized Full Matching in R☆11Updated 9 months ago