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Umpire: Simulating Realistic Gene Expression and Clinical Data

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
DOI: 10.32614/CRAN.package.Umpire
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

Documentation:

Reference manual: Umpire.pdf
Vignettes: Umpire 2.0
Umpire Survival
Umpire Primer

Downloads:

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 dependencies:

Reverse suggests: SillyPutty

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Umpire to link to this page.

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.