Hierarchical Sufficient Dimension Reduction
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 71%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Stars over time
Forks over time
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/jaredhuling/hiersdr on 2026-10-11.
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1Latest2021-09-23 · current release
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-09-23
- Total releases
- 1 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.2.0
- Download size
- 23 KB
Cite
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