Generalized Fiducial Inference for Ultrahigh-Dimensional Regression
Overview
Variable selection for ultrahigh-dimensional ("large p small n") linear Gaussian models using a fiducial framework allowing to draw inference on the parameters. Reference: Lai, Hannig & Lee (2015) doi:10.1080/01621459.2014.931237.
First release.
From NEWS.md in the release
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- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
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- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 33%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 33%
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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
- RR 4.1.0 released · 2021-05-18
- 1.0.0Latest2020-12-09 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-12-09
- Total releases
- 1 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 4.2 KB
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