aorsf: Accelerated Oblique Random Survival Forests
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., (2022) <arXiv:2208.01129>.
| Version: | 0.0.7 |
| Depends: | R (≥ 3.6) |
| Imports: | Rcpp, data.table, utils, stats, collapse |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | survival, SurvMetrics, ggplot2, testthat (≥ 3.0.0), knitr, rmarkdown, glmnet, covr, units, tibble |
| Published: | 2023-01-12 |
| Author: | Byron Jaeger 
[aut, cre],
Nicholas Pajewski [ctb],
Sawyer Welden [ctb],
Christopher Jackson [rev],
Marvin Wright [rev],
Lukas Burk [rev] |
| Maintainer: | Byron Jaeger <bjaeger at wakehealth.edu> |
| BugReports: | https://github.com/ropensci/aorsf/issues/ |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ropensci/aorsf, https://docs.ropensci.org/aorsf/ |
| NeedsCompilation: | yes |
| Citation: | aorsf citation info |
| Materials: | README NEWS |
| CRAN checks: | aorsf results |
Documentation:
| Reference manual: | aorsf.pdf |
| Vignettes: |
Introduction to aorsf Out-of-bag predictions and evaluation PD and ICE curves with ORSF |
Downloads:
| Package source: | aorsf_0.0.7.tar.gz |
| Windows binaries: | r-devel: aorsf_0.0.7.zip, r-release: aorsf_0.0.7.zip, r-oldrel: aorsf_0.0.7.zip |
| macOS binaries: | r-release (arm64): aorsf_0.0.7.tgz, r-oldrel (arm64): aorsf_0.0.7.tgz, r-release (x86_64): aorsf_0.0.7.tgz, r-oldrel (x86_64): aorsf_0.0.7.tgz |
| Old sources: | aorsf archive |
Linking:
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