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nadir
0.0.2
Reference
Articles
Basic Examples
Benchmarking Against `{SuperLearner}` and `{sl3}`
Binary and Multiclass Outcomes
Clustered and Dependent Data
Comparison to `{SuperLearner}` and `{sl3}`
Creating Learners
Currying, Closures, and Function Factories
Density Estimation
Doubly Robust Estimation
Error Handling
FAQs
Guidance for Developers
Running `super_learner()` in Parallel
Screeners
Survival Analysis via Pooled Logistic Regression
Using Observation Weights
Visualizing Performance
Changelog
Changelog
Source:
NEWS.md
nadir 0.0.1
CRAN release: 2026-02-20
Initial CRAN submission.