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) .


Reference manual

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0.1 by Jared Huling, 4 months ago

Report a bug at https://github.com/jaredhuling/hierSDR/issues

Browse source code at https://github.com/cran/hierSDR

Authors: Jared Huling [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports numDeriv, optimx

Depends on MASS, Matrix, locfit, lbfgs

See at CRAN