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hierSDR

Hierarchical Sufficient Dimension Reduction

v0.1 · Sep 23, 2021 · GPL-2

Description

Provides semiparametric sufficient dimension reduction for central mean subspaces for heterogeneous data defined by combinations of binary factors (such as chronic conditions). Subspaces are estimated to be hierarchically nested to respect the structure of subpopulations with overlapping characteristics. This package is an implementation of the proposed methodology of Huling and Yu (2021) <doi:10.1111/biom.13546>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies MASS Matrix locfit lbfgs numDeriv optimx hierSDR

Version History

new 0.1 Mar 9, 2026