Accelerated Oblique Random Forests
aorsf: Accelerated Oblique Random Forests
Coerce to data.table
Cox regression ORSF control
Custom ORSF control
Accelerated ORSF control
Penalized Cox regression ORSF control
Oblique random forest control
Individual Conditional Expectations
Partial dependence
Scale input data
Univariate summary
Estimate training time
Update Forest Parameters
Variable Importance
Variable Interactions
Variable selection
Oblique Random Forests
Automatic variable values for dependence
Prediction for ObliqueForest Objects
Inspect Forest Parameters
Print ORSF summary
Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) <DOI:10.1080/10618600.2023.2231048>.
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