nlnet
Nonlinear Network, Clustering, and Variable Selection Based on DCOL
It includes four methods: DCOL-based K-profiles clustering, non-linear network reconstruction, non-linear hierarchical clustering, and variable selection for generalized additive model. References: Tianwei Yu (2018)<DOI: 10.1002/sam.11381>; Haodong Liu and others (2016)<DOI: 10.1371/journal.pone.0158247>; Kai Wang and others (2015)<DOI: 10.1155/2015/918954>; Tianwei Yu and others (2010)<DOI: 10.1109/TCBB.2010.73>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling linux/jammy R-4.5 | nlnet_1.4.tar.gz |
80.7 KiB |
1.4 |
rolling linux/noble R-4.5 | nlnet_1.4.tar.gz |
80.6 KiB |
1.4 |
rolling source/ R- | nlnet_1.4.tar.gz |
14.1 KiB |
1.4 |
latest linux/jammy R-4.5 | nlnet_1.4.tar.gz |
80.7 KiB |
1.4 |
latest linux/noble R-4.5 | nlnet_1.4.tar.gz |
80.6 KiB |
1.4 |
latest source/ R- | nlnet_1.4.tar.gz |
14.1 KiB |
1.4 |
2026-04-26 source/ R- | nlnet_1.4.tar.gz |
14.1 KiB |
1.4 |
2026-04-23 source/ R- | nlnet_1.4.tar.gz |
14.1 KiB |
1.4 |
2026-04-09 windows/windows R-4.5 | nlnet_1.4.zip |
83.0 KiB |
1.4 |
2025-04-20 source/ R- | nlnet_1.4.tar.gz |
14.1 KiB |