aorsf-package: aorsf: Accelerated Oblique Random Survival Forests

In aorsf: Accelerated Oblique Random Survival Forests

aorsf: Accelerated Oblique Random Survival Forests

Description

Fit, interpret, and make predictions with oblique random survival forests. Oblique decision trees are notoriously slow compared to their axis based counterparts, but 'aorsf' runs as fast or faster than axis-based decision tree algorithms for right-censored time-to-event outcomes. Methods to accelerate and interpret the oblique random survival forest are described in Jaeger et al., (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10618600.2023.2231048")}.

Author(s)

Maintainer: Byron Jaeger [e-mail] (ORCID)

Other contributors:

• Nicholas Pajewski [contributor]

• Sawyer Welden [e-mail] [contributor]

• Christopher Jackson [e-mail] [reviewer]

• Marvin Wright [reviewer]

• Lukas Burk [reviewer]

See Also

Useful links:

• https://github.com/ropensci/aorsf

• https://docs.ropensci.org/aorsf/

• Report bugs at https://github.com/ropensci/aorsf/issues/

aorsf documentation built on Oct. 26, 2023, 5:08 p.m.