hierSDR: Hierarchical Sufficient Dimension Reduction

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>.

Getting started

Package details

AuthorJared Huling [aut, cre]
MaintainerJared Huling <jaredhuling@gmail.com>
Package repositoryView on CRAN
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hierSDR documentation built on Sept. 24, 2021, 1:06 a.m.