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
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
Old sources: Umpire archive

Reverse dependencies:

Reverse suggests: SillyPutty

Linking:

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