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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 |
DOI: | 10.32614/CRAN.package.xnet |
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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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.