Two-Step Kernel Ridge Regression for Network Predictions R package xnet version 0.1.11 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> ). Software Depends: R(>= 3.4.0) Imports: methods, utils, graphics, stats, grDevices Suggests: testthat, knitr, rmarkdown, ChemmineR, covr, fmcsR Joris Meys <Joris.Meys@UGent.be> Comprehensive R Archive Network (CRAN) Joris Meys [cre, aut], Michiel Stock [aut] GPL-3 2020-02-03 application/tgz https://CRAN.R-project.org/package=xnet doi:10.32614/CRAN.package.xnet