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Fit a two-step kernel ridge regression model for predicting edges in networks, and carry out cross-validation using shortcuts for swift and accurate performance assessment (Stock et al, 2018 <doi:10.1093/bib/bby095> ).
| Version: | 0.1.11 |
| Depends: | R (≥ 3.4.0) |
| Imports: | methods, utils, graphics, stats, grDevices |
| Suggests: | testthat, knitr, rmarkdown, ChemmineR, covr, fmcsR |
| Published: | 2020-02-03 |
| Author: | Joris Meys [cre, aut], Michiel Stock [aut] |
| Maintainer: | Joris Meys <Joris.Meys at UGent.be> |
| BugReports: | https://github.com/CenterForStatistics-UGent/xnet/issues |
| License: | GPL-3 |
| URL: | https://github.com/CenterForStatistics-UGent/xnet |
| NeedsCompilation: | no |
| Citation: | xnet citation info |
| Materials: | NEWS |
| CRAN checks: | xnet results |
| Reference manual: | xnet.pdf |
| Vignettes: |
Preparation of the example data xnet Class structure xnet |
| Package source: | xnet_0.1.11.tar.gz |
| Windows binaries: | r-devel: xnet_0.1.11.zip, r-release: xnet_0.1.11.zip, r-oldrel: xnet_0.1.11.zip |
| macOS binaries: | r-release (arm64): xnet_0.1.11.tgz, r-oldrel (arm64): xnet_0.1.11.tgz, r-release (x86_64): xnet_0.1.11.tgz, r-oldrel (x86_64): xnet_0.1.11.tgz |
| Old sources: | xnet archive |
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