aorsf

aorsf-package

<img src="figures/logo.png?package=aorsf&version=0.1.4" style="float: right" alt="logo" width="120">
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) tools:::Rd_expr_doi("10.1080/10618600.2023.2231048").

internal

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>.

Byron Jaeger

Accelerated Oblique Random Forests

Nicholas Pajewski

Sawyer Welden

Christopher Jackson

Marvin Wright

Lukas Burk

aorsf-package function

Maintainer: Byron Jaeger <a href="/link/bjaeger%40wakehealth.edu?package=aorsf&version=0.1.4" data-mini-rdoc="aorsf::bjaeger@wakehealth.edu">bjaeger@wakehealth.edu</a> (<a href="https://orcid.org/0000-0001-7399-2299">ORCID</a>)
Other contributors:<ul>
<li>Nicholas Pajewski [contributor]</li>
<li>Sawyer Welden <a href="/link/swelden%40wakehealth.edu?package=aorsf&version=0.1.4" data-mini-rdoc="aorsf::swelden@wakehealth.edu">swelden@wakehealth.edu</a> [contributor]</li>
<li>Christopher Jackson <a href="/link/chris.jackson%40mrc-bsu.cam.ac.uk?package=aorsf&version=0.1.4" data-mini-rdoc="aorsf::chris.jackson@mrc-bsu.cam.ac.uk">chris.jackson@mrc-bsu.cam.ac.uk</a> [reviewer]</li>
<li>Marvin Wright [reviewer]</li>
<li>Lukas Burk [reviewer]</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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) tools:::Rd_expr_doi("10.1080/10618600.2023.2231048").

aorsf: Accelerated Oblique Random Forests — aorsf-package

Maintainer: Byron Jaeger <a href='mailto:bjaeger@wakehealth.edu'>bjaeger@wakehealth.edu</a> (<a href='https://orcid.org/0000-0001-7399-2299'>ORCID</a>)
Other contributors:<ul>
<li>Nicholas Pajewski [contributor]</li>
<li>Sawyer Welden <a href='mailto:swelden@wakehealth.edu'>swelden@wakehealth.edu</a> [contributor]</li>
<li>Christopher Jackson <a href='mailto:chris.jackson@mrc-bsu.cam.ac.uk'>chris.jackson@mrc-bsu.cam.ac.uk</a> [reviewer]</li>
<li>Marvin Wright [reviewer]</li>
<li>Lukas Burk [reviewer]</li>
</ul>

aorsf-package: aorsf: Accelerated Oblique Random Forests

Description

Arguments

Author

See Also