Crandore Hub

hierNest

Penalized Regression with Hierarchical Nested Parameterization Structure

Efficient implementation of penalized regression with hierarchical nested parametrization for grouped data. The package provides penalized regression methods that decompose subgroup specific effects into shared global effects, Major subgroup specific effects, and Minor subgroup specific effects, enabling structured borrowing of information across related clinical subgroups. Both lasso and hierarchical overlapping group lasso penalties are supported to encourage sparsity while respecting the nested subgroup structure. Efficient computation is achieved through a modified design matrix representation and a custom algorithm for overlapping group penalties.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 hierNest_1.0.2.tar.gz 378.8 KiB
1.0.2 rolling linux/noble R-4.5 hierNest_1.0.2.tar.gz 381.7 KiB
1.0.2 rolling source/ R- hierNest_1.0.2.tar.gz 218.2 KiB
1.0.2 latest linux/jammy R-4.5 hierNest_1.0.2.tar.gz 378.8 KiB
1.0.2 latest linux/noble R-4.5 hierNest_1.0.2.tar.gz 381.7 KiB
1.0.2 latest source/ R- hierNest_1.0.2.tar.gz 218.2 KiB
1.0.2 2026-04-26 source/ R- hierNest_1.0.2.tar.gz 218.2 KiB
1.0.2 2026-04-23 source/ R- hierNest_1.0.2.tar.gz 218.2 KiB

Dependencies (latest)

Imports

Suggests