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 ).


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install.packages("xnet")

0.1.11 by Joris Meys, 9 months ago


https://github.com/CenterForStatistics-UGent/xnet


Report a bug at https://github.com/CenterForStatistics-UGent/xnet/issues


Browse source code at https://github.com/cran/xnet


Authors: Joris Meys [cre, aut] , Michiel Stock [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports methods, utils, graphics, stats, grDevices

Suggests testthat, knitr, rmarkdown, ChemmineR, covr, fmcsR


See at CRAN