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CRAN: Package xnet

xnet: Two-Step Kernel Ridge Regression for Network Predictions

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 Documentation: Downloads: Linking:

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