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
Config/pak/sysreqs: cmake
Repository: https://jaredhuling.r-universe.dev
Date/Publication: 2021-09-23 16:46:29 UTC
RemoteUrl: https://github.com/jaredhuling/hiersdr
RemoteRef: HEAD
RemoteSha: f5fe8e27201983c795fc6983c33c2f61e653c6cd
NeedsCompilation: no
Packaged: 2026-07-03 08:45:17 UTC; root
Author: Jared Huling [aut, cre]
Maintainer: Jared Huling <jaredhuling@gmail.com>