Package: hierSDR
Type: Package
Title: Hierarchical Sufficient Dimension Reduction
Version: 0.1
Authors@R: c(
    person("Jared", "Huling",  role = c("aut", "cre"), email = "jaredhuling@gmail.com")
    )
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>.
BugReports: https://github.com/jaredhuling/hierSDR/issues
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.2.0), MASS, Matrix, locfit, lbfgs
Imports: numDeriv, optimx
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-09-23 16:46:15 UTC; huling
Author: Jared Huling [aut, cre]
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-23 18:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 00:55:07 UTC; unix
