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A mathematical optimization procedure in combination with statistical bootstrap for the estimation of the latent signals (sometimes called scores) informing the global consensus ranking (often named aggregation ranking). To solve mid/large-scale problems, users should install the 'gurobi' optimiser (available from <https://www.gurobi.com/>).
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | foreach, doParallel, parallel, nloptr, Matrix, ggplot2, reshape2 |
| Suggests: | knitr, rmarkdown, gurobi |
| Published: | 2024-01-08 |
| DOI: | 10.32614/CRAN.package.TopKSignal |
| Author: | Luca Vitale Developer [aut], Bastian Pfeifer Maintainer [aut, cre], Michael G. Schimek Supervision [aut] |
| Maintainer: | Bastian Pfeifer Maintainer <bastian.pfeifer at medunigraz.at> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | TopKSignal results |
| Reference manual: | TopKSignal.pdf |
| Vignettes: |
TopKSignal |
| Package source: | TopKSignal_1.0.tar.gz |
| Windows binaries: | r-devel: TopKSignal_1.0.zip, r-release: TopKSignal_1.0.zip, r-oldrel: TopKSignal_1.0.zip |
| macOS binaries: | r-release (arm64): TopKSignal_1.0.tgz, r-oldrel (arm64): TopKSignal_1.0.tgz, r-release (x86_64): TopKSignal_1.0.tgz, r-oldrel (x86_64): TopKSignal_1.0.tgz |
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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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