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Run simulations to assess the impact of various designs features and the underlying biological behaviour on the outcome of a Patient Derived Xenograft (PDX) population study. This project can either be deployed to a server as a 'shiny' app or installed locally as a package and run the app using the command 'populationPDXdesignApp()'.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.0.0) |
| Imports: | devtools, ggplot2, plyr, roxygen2, shiny, shinycssloaders |
| Suggests: | testthat |
| Published: | 2018-08-08 |
| DOI: | 10.32614/CRAN.package.populationPDXdesign |
| Author: | Maria Luisa Guerriero [aut, cre], Natasha Karp [aut] |
| Maintainer: | Maria Luisa Guerriero <maria.guerriero at astrazeneca.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | populationPDXdesign results |
| Reference manual: | populationPDXdesign.pdf |
| Package source: | populationPDXdesign_1.0.3.tar.gz |
| Windows binaries: | r-devel: populationPDXdesign_1.0.3.zip, r-release: populationPDXdesign_1.0.3.zip, r-oldrel: populationPDXdesign_1.0.3.zip |
| macOS binaries: | r-release (arm64): populationPDXdesign_1.0.3.tgz, r-oldrel (arm64): populationPDXdesign_1.0.3.tgz, r-release (x86_64): populationPDXdesign_1.0.3.tgz, r-oldrel (x86_64): populationPDXdesign_1.0.3.tgz |
| Old sources: | populationPDXdesign 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.