Customizable, asynchronous, parallel random forests for R with JavaScript extension points, missing-data handling, imputation, and diagnostics.
javascript java machine-learning random-forest parallel-computing statistical-learning variable-importance regression supervised-learning classification ensemble-learning missing-data r-package decision-trees interaction-detection missing-data-imputation out-of-bag asynchronous-computing proximity-analysis custom-split-rules
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Updated
Sep 3, 2026 - R