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aorsf  

Accelerated Oblique Random Forests
View on CRAN: Click here


Download and install aorsf package within the R console
Install from CRAN:
install.packages("aorsf")

Install from Github:
library("remotes")
install_github("cran/aorsf")

Install by package version:
library("remotes")
install_version("aorsf", "0.1.5")



Attach the package and use:
library("aorsf")
Maintained by
Byron Jaeger
[Scholar Profile | Author Map]
First Published: 2022-08-23
Latest Update: 2023-01-12
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) .
How to cite:
Byron Jaeger (2022). aorsf: Accelerated Oblique Random Forests. R package version 0.1.5, https://cran.r-project.org/web/packages/aorsf. Accessed 23 Feb. 2025.
Previous versions and publish date:
0.0.1 (2022-08-23 15:00), 0.0.2 (2022-09-05 10:10), 0.0.3 (2022-10-09 18:00), 0.0.4 (2022-11-07 09:00), 0.0.5 (2022-12-14 15:20), 0.0.6 (2023-01-06 14:20), 0.0.7 (2023-01-12 12:50), 0.1.0 (2023-10-13 23:10), 0.1.1 (2023-10-26 18:40), 0.1.2 (2024-01-15 05:30), 0.1.3 (2024-01-22 14:22), 0.1.4 (2024-05-03 21:40)
Other packages that cited aorsf R package
View aorsf citation profile
Other R packages that aorsf depends, imports, suggests or enhances
Complete documentation for aorsf
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