VariableScreening
0.2.1High-Dimensional Screening for Semiparametric Longitudinal Regression
Overview
Implements variable screening techniques for ultra-high dimensional regression settings. Techniques for independent (iid) data, varying-coefficient models, and longitudinal data are implemented. The package currently contains three screen functions: screenIID(), screenLD() and screenVCM(), and six methods for simulating dataset: simulateDCSIS(), simulateLD, simulateMVSIS(), simulateMVSISNY(), simulateSIRS() and simulateVCM(). The package is based on the work of Li-Ping ZHU, Lexin LI, Runze LI, and Li-Xing ZHU (2011) DOI:10.1198/jasa.2011.tm10563, Runze LI, Wei ZHONG, & Liping ZHU (2012) DOI:10.1080/01621459.2012.695654, Jingyuan LIU, Runze LI, & Rongling WU (2014) DOI:10.1080/01621459.2013.850086 Hengjian CUI, Runze LI, & Wei ZHONG (2015) DOI:10.1080/01621459.2014.920256, and Wanghuan CHU, Runze LI and Matthew REIMHERR (2016) DOI:10.1214/16-AOAS912.
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Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 67%
Downloads
Dependencies
Code & Tests
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- 0.2.1Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.2.02018-08-09 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.1.12016-07-28 · diff ↗
- 0.1.02016-07-19
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-07-19
- Total releases
- 4 / 10 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.2.1
- Download size
- 20 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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