regnet
Network-Based Regularization for Generalized Linear Models
Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models (Ren et al. (2017) <doi:10.1186/s12863-017-0495-5> and Ren et al.(2019) <doi:10.1002/gepi.22194>). Continuous, binary, and survival response are supported. Robust network-based methods are available for continuous and survival responses.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | regnet_1.0.2.tar.gz |
2.5 MiB |
1.0.2 |
rolling linux/noble R-4.5 | regnet_1.0.2.tar.gz |
2.5 MiB |
1.0.2 |
rolling source/ R- | regnet_1.0.2.tar.gz |
2.3 MiB |
1.0.2 |
latest linux/jammy R-4.5 | regnet_1.0.2.tar.gz |
2.5 MiB |
1.0.2 |
latest linux/noble R-4.5 | regnet_1.0.2.tar.gz |
2.5 MiB |
1.0.2 |
latest source/ R- | regnet_1.0.2.tar.gz |
2.3 MiB |
1.0.2 |
2026-04-26 source/ R- | regnet_1.0.2.tar.gz |
2.3 MiB |
1.0.2 |
2026-04-23 source/ R- | regnet_1.0.2.tar.gz |
2.3 MiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | regnet_1.0.2.zip |
2.9 MiB |
1.0.2 |
2025-04-20 source/ R- | regnet_1.0.2.tar.gz |
2.3 MiB |