The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
In the context of high-throughput genetic data, CoDaCoRe identifies a set of sparse biomarkers that are predictive of a response variable of interest (Gordon-Rodriguez et al., 2021) <doi:10.1093/bioinformatics/btab645>. More generally, CoDaCoRe can be applied to any regression problem where the independent variable is Compositional (CoDa), to derive a set of scale-invariant log-ratios (ILR or SLR) that are maximally associated to a dependent variable.
| Version: | 0.0.4 |
| Depends: | R (≥ 3.6.0) |
| Imports: | tensorflow (≥ 2.1), keras (≥ 2.3), pROC (≥ 1.17), R6 (≥ 2.5), gtools (≥ 3.8) |
| Suggests: | zCompositions, testthat (≥ 2.1.0), knitr, rmarkdown |
| Published: | 2022-08-29 |
| DOI: | 10.32614/CRAN.package.codacore |
| Author: | Elliott Gordon-Rodriguez [aut, cre], Thomas Quinn [aut] |
| Maintainer: | Elliott Gordon-Rodriguez <eg2912 at columbia.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| SystemRequirements: | TensorFlow (https://www.tensorflow.org/) |
| Citation: | codacore citation info |
| Materials: | README NEWS |
| CRAN checks: | codacore results |
| Reference manual: | codacore.pdf |
| Vignettes: |
my-vignette |
| Package source: | codacore_0.0.4.tar.gz |
| Windows binaries: | r-devel: codacore_0.0.4.zip, r-release: codacore_0.0.4.zip, r-oldrel: codacore_0.0.4.zip |
| macOS binaries: | r-release (arm64): codacore_0.0.4.tgz, r-oldrel (arm64): codacore_0.0.4.tgz, r-release (x86_64): codacore_0.0.4.tgz, r-oldrel (x86_64): codacore_0.0.4.tgz |
| Old sources: | codacore archive |
Please use the canonical form https://CRAN.R-project.org/package=codacore 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.
Health stats visible at Monitor.