stephenbates19 / nestedcvLinks
Nested cross-validation for accurate confidence intervals for prediction error.
☆41Updated 3 years ago
Alternatives and similar repositories for nestedcv
Users that are interested in nestedcv are comparing it to the libraries listed below
Sorting:
- Numerical experiments for nested cross-validation paper☆12Updated 3 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 9 months ago
- Rlgt is an R package for Bayesian Exponential Smoothing☆22Updated 2 months ago
- ☆31Updated 2 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Stability Selection with Error Control☆26Updated 4 years ago
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 8 months ago
- A random-forest-based approach for imputing clustered incomplete data☆35Updated 8 years ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated 11 months ago
- Implementation of GP-BART algorithm.☆16Updated last year
- Adaptive and automatic gradient boosting computations.☆69Updated 2 years ago
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 8 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- An R package to assess feature importance☆33Updated 4 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- ☆29Updated 4 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Experimenting with various implementations and methods of nested cross-validation in R and Python☆16Updated 9 months ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last month
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆28Updated last year
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Bayesian Gaussian Graphical Models☆56Updated 3 months ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 5 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆17Updated 5 years ago
- Code and slides from a 2016 talk at the Cambridge UK RUG☆16Updated 8 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆14Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago