Introduction | Robust likelihood-based survival modeling | Algorithm | Example: Glioma Data | Argument description | Conclusion
Package: rbsurv 2.70.0
Soo-heang Eo
rbsurv: Robust likelihood-based survival modeling with microarray data
This package selects genes associated with survival.
Authors:
rbsurv_2.70.0.tar.gz
rbsurv_2.70.0.zip(r-4.7-any)rbsurv_2.70.0.zip(r-4.6-any)rbsurv_2.70.0.zip(r-4.5-any)
rbsurv_2.70.0.tgz(r-4.6-any)rbsurv_2.70.0.tgz(r-4.5-any)
rbsurv_2.70.0.tar.gz(r-4.7-any)rbsurv_2.70.0.tar.gz(r-4.6-any)
rbsurv_2.70.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rbsurv/json (API)
| # Install 'rbsurv' in R: |
| install.packages('rbsurv', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- gliomaSet - Gene expression and survival data of the patients with gliomas
On BioConductor:rbsurv-2.71.0(bioc 3.24)rbsurv-2.70.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5d49ed5aeb (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 141 | ||
| linux-devel-x86_64 | NOTE | 235 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | NOTE | 202 | ||
| macos-release-arm64 | NOTE | 95 | ||
| macos-oldrel-arm64 | NOTE | 106 | ||
| windows-devel | NOTE | 99 | ||
| windows-release | NOTE | 97 | ||
| windows-oldrel | NOTE | 123 | ||
| wasm-release | OK | 90 |
Exports:rbsurvrbsurv.default
Dependencies:BiobaseBiocGenericsgenericslatticeMatrixsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Gene expression and survival data of the patients with gliomas | gliomaSet |
| Robust likelihood-based survival modeling | rbsurv |
| Robust likelihood-based survival modeling | rbsurv.default |
