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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> ).

Versions across snapshots

VersionRepositoryFileSize
0.1.11 rolling linux/jammy R-4.5 xnet_0.1.11.tar.gz 578.7 KiB
0.1.11 rolling linux/noble R-4.5 xnet_0.1.11.tar.gz 578.3 KiB
0.1.11 rolling source/ R- xnet_0.1.11.tar.gz 235.2 KiB
0.1.11 latest linux/jammy R-4.5 xnet_0.1.11.tar.gz 578.7 KiB
0.1.11 latest linux/noble R-4.5 xnet_0.1.11.tar.gz 578.3 KiB
0.1.11 latest source/ R- xnet_0.1.11.tar.gz 235.2 KiB
0.1.11 2026-04-26 source/ R- xnet_0.1.11.tar.gz 235.2 KiB
0.1.11 2026-04-23 source/ R- xnet_0.1.11.tar.gz 235.2 KiB
0.1.11 2026-04-09 windows/windows R-4.5 xnet_0.1.11.zip 588.0 KiB
0.1.11 2025-04-20 source/ R- xnet_0.1.11.tar.gz 235.2 KiB

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