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Algorithms to create prognostic biomarkers using biological genesets or networks.
| Version: | 1.3.2 |
| Depends: | R (≥ 3.2.0), survival (≥ 2.36-2), MASS (≥ 7.3-12), glmnet (≥ 1.9-8), doParallel (≥ 1.0.10), foreach (≥ 1.4.3) |
| Imports: | randomForestSRC (≥ 2.9.1) |
| Suggests: | knitr (≥ 1.4), rmarkdown (≥ 0.9.5), xtable (≥ 1.7-4) |
| Published: | 2022-04-24 |
| Author: | Syed Haider [aut, cre], Paul C. Boutros [aut], Michal Grzadkowski [ctb] |
| Maintainer: | Syed Haider <Syed.Haider at icr.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Omics |
| CRAN checks: | SIMMS results |
| Reference manual: | SIMMS.pdf |
| Vignettes: |
SIMMS |
| Package source: | SIMMS_1.3.2.tar.gz |
| Windows binaries: | r-devel: SIMMS_1.3.2.zip, r-release: SIMMS_1.3.2.zip, r-oldrel: SIMMS_1.3.2.zip |
| macOS binaries: | r-release (arm64): SIMMS_1.3.2.tgz, r-oldrel (arm64): SIMMS_1.3.2.tgz, r-release (x86_64): SIMMS_1.3.2.tgz, r-oldrel (x86_64): SIMMS_1.3.2.tgz |
| Old sources: | SIMMS archive |
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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.
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