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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> ).
Getting started
Browse package contents
Package details |
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| Author | Joris Meys [cre, aut], Michiel Stock [aut] |
| Maintainer | Joris Meys <Joris.Meys@UGent.be> |
| License | GPL-3 |
| Version | 0.1.11 |
| URL | https://github.com/CenterForStatistics-UGent/xnet |
| Package repository | View on CRAN |
| Installation |
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