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Implements sparse survival sufficient dimension reduction methods for high-dimensional censored data, including covariance-stabilised SAVE, Maximum Entropy Covariance estimation, information-complexity-guided variable weighting, dual-space high-dimensional SAVE computation, row-wise post-estimation sparsification paths, and Cox proportional hazards model selection.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, MASS, survival |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-10-21 |
| DOI: | 10.32614/CRAN.package.ssurvdr |
| Author: | Kabir Opeyemi Olorede [aut, cre] |
| Maintainer: | Kabir Opeyemi Olorede <kabir.olorede at kwasu.edu.ng> |
| BugReports: | https://github.com/ilovemaths/ssurvdr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ilovemaths/ssurvdr |
| NeedsCompilation: | no |
| Citation: | ssurvdr citation info |
| Materials: | README |
| CRAN checks: | ssurvdr results |
| Reference manual: | ssurvdr.html , ssurvdr.pdf |
| Vignettes: |
Survival dimension reduction and row-support selection (source, R code) |
| Package source: | ssurvdr_0.1.0.tar.gz |
| Windows binaries: | r-devel: ssurvdr_0.1.0.zip, r-release: ssurvdr_0.1.0.zip, r-oldrel: ssurvdr_0.1.0.zip |
| macOS binaries: | r-release (arm64): ssurvdr_0.1.0.tgz, r-oldrel (arm64): ssurvdr_0.1.0.tgz, r-release (x86_64): ssurvdr_0.1.0.tgz, r-oldrel (x86_64): ssurvdr_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.