aorsf-package: aorsf: Accelerated Oblique Random Forests

In aorsf: Accelerated Oblique Random Forests

aorsf: Accelerated Oblique Random Forests

Description

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) \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 June 22, 2024, 10:31 a.m.