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The Ultimate Microrray Prediction, Reality and Inference Engine (UMPIRE) is a package to facilitate the simulation of realistic microarray data sets with links to associated outcomes. See Zhang and Coombes (2012) <doi:10.1186/1471-2105-13-S13-S1>. Version 2.0 adds the ability to simulate realistic mixed-typed clinical data.
| Version: | 2.0.10 |
| Depends: | R (≥ 3.0) |
| Imports: | methods, stats, mc2d, BimodalIndex |
| Suggests: | mclust, survival, knitr, rmarkdown |
| Published: | 2020-11-10 |
| Author: | Kevin R. Coombes, Jiexin Zhang, Caitlin E. Coombes |
| Maintainer: | Kevin R. Coombes <krc at silicovore.com> |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| CRAN checks: | Umpire results |
| Reference manual: | Umpire.pdf |
| Vignettes: |
Umpire 2.0 Umpire Survival Umpire Primer |
| Package source: | Umpire_2.0.10.tar.gz |
| Windows binaries: | r-devel: Umpire_2.0.10.zip, r-release: Umpire_2.0.10.zip, r-oldrel: Umpire_2.0.10.zip |
| macOS binaries: | r-release (arm64): Umpire_2.0.10.tgz, r-oldrel (arm64): Umpire_2.0.10.tgz, r-release (x86_64): Umpire_2.0.10.tgz, r-oldrel (x86_64): Umpire_2.0.10.tgz |
| Old sources: | Umpire archive |
| Reverse suggests: | SillyPutty |
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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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