In bcjaeger/orsf2: Accelerated Oblique Random Forests
Examples
library(aorsf)
vector-valued pred_horizon input comes with minimal extra computational cost. Use a fine grid of time values and assess whether predictors have time-varying effects. (see partial dependence vignette for example)
bcjaeger/orsf2 documentation built on April 14, 2025, 4:59 p.m.
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Examples
library(aorsf)
vector-valued pred_horizon input comes with minimal extra computational cost. Use a fine grid of time values and assess whether predictors have time-varying effects. (see partial dependence vignette for example)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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