Package: obliqueRSF 0.1.2
obliqueRSF: Oblique Random Forests for Right-Censored Time-to-Event Data
Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <doi:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <doi:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables.
Authors:
obliqueRSF_0.1.2.tar.gz
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obliqueRSF_0.1.2.tgz(r-4.4-x86_64)obliqueRSF_0.1.2.tgz(r-4.4-arm64)obliqueRSF_0.1.2.tgz(r-4.3-x86_64)obliqueRSF_0.1.2.tgz(r-4.3-arm64)
obliqueRSF_0.1.2.tar.gz(r-4.5-noble)obliqueRSF_0.1.2.tar.gz(r-4.4-noble)
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obliqueRSF.pdf |obliqueRSF.html✨
obliqueRSF/json (API)
# Install 'obliqueRSF' in R: |
install.packages('obliqueRSF', repos = c('https://bcjaeger.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:c798d9b35c. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win-x86_64 | OK | Nov 04 2024 |
R-4.5-linux-x86_64 | OK | Nov 04 2024 |
R-4.4-win-x86_64 | OK | Nov 04 2024 |
R-4.4-mac-x86_64 | OK | Nov 04 2024 |
R-4.4-mac-aarch64 | OK | Nov 04 2024 |
R-4.3-win-x86_64 | OK | Nov 04 2024 |
R-4.3-mac-x86_64 | OK | Nov 04 2024 |
R-4.3-mac-aarch64 | OK | Nov 04 2024 |
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