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An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.
| Version: | 0.0.4 |
| Depends: | kernlab, CVST, Matrix |
| Imports: | stats, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-02-12 |
| Author: | Guido Kraemer [aut, cre] |
| Maintainer: | Guido Kraemer <gkraemer at bgc-jena.mpg.de> |
| BugReports: | https://github.com/gdkrmr/DRR/issues |
| License: | GPL-3 | file LICENSE |
| URL: | https://github.com/gdkrmr/DRR |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | DRR results |
| Reference manual: | DRR.pdf |
| Vignettes: |
Compare DRR and PCA |
| Package source: | DRR_0.0.4.tar.gz |
| Windows binaries: | r-devel: DRR_0.0.4.zip, r-release: DRR_0.0.4.zip, r-oldrel: DRR_0.0.4.zip |
| macOS binaries: | r-release (arm64): DRR_0.0.4.tgz, r-oldrel (arm64): DRR_0.0.4.tgz, r-release (x86_64): DRR_0.0.4.tgz, r-oldrel (x86_64): DRR_0.0.4.tgz |
| Old sources: | DRR archive |
| Reverse depends: | dimRed |
| Reverse suggests: | parameters |
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These binaries (installable software) and packages are in development.
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