grpCox-package

tools:::Rd_package_description("grpCox")

package

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.

Xuan Dang

grpCox

Penalized Cox Model for High-Dimensional Data with Grouped
Predictors

grpCox-package function

tools:::Rd_package_indices("grpCox")

Package Content

tools:::Rd_package_author("grpCox")

Author

tools:::Rd_package_maintainer("grpCox")

grpCox-package: tools:::Rd_package_title("grpCox")

Description

Arguments

Package Content

Author

Maintainer