grpCox
Penalized Cox Model for High-Dimensional Data with Grouped Predictors
Fit the penalized Cox models with both non-overlapping and overlapping grouped penalties including the group lasso, group smoothly clipped absolute deviation, and group minimax concave penalty. The algorithms combine the MM approach and group-wise descent with some computational tricks including the screening, active set, and warm-start. Different tuning regularization parameter methods are provided.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling source/ R- | grpCox_1.0.2.tar.gz |
20.7 KiB |
1.0.2 |
rolling linux/jammy R-4.5 | grpCox_1.0.2.tar.gz |
149.4 KiB |
1.0.2 |
rolling linux/noble R-4.5 | grpCox_1.0.2.tar.gz |
151.6 KiB |
1.0.2 |
latest source/ R- | grpCox_1.0.2.tar.gz |
20.7 KiB |
1.0.2 |
latest linux/jammy R-4.5 | grpCox_1.0.2.tar.gz |
149.4 KiB |
1.0.2 |
latest linux/noble R-4.5 | grpCox_1.0.2.tar.gz |
151.6 KiB |
1.0.2 |
2026-04-23 source/ R- | grpCox_1.0.2.tar.gz |
20.7 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | grpCox_1.0.2.zip |
470.8 KiB |
1.0.2 |
2025-04-20 source/ R- | grpCox_1.0.2.tar.gz |
20.7 KiB |