xnet
0.1.11Two-Step Kernel Ridge Regression for Network Predictions
Overview
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 ).
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 96%
- Return-value docs
- 96%
- References docs
- 4%
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5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/centerforstatistics-ugent/xnet on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.11Latest
- 0.1.102020-01-09
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-01-09
- Total releases
- 2 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 75 KB / 2 files
- Download size
- 236 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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