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VariableScreening

0.2.1

High-Dimensional Screening for Semiparametric Longitudinal Regression

3packages depend
2.8Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by John DziakFirst published 2016-07-194 releasesCRAN page ↗

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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Health

CRAN checks
13NOTE
Failing flavors
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Slowest check: 1.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
67%

Downloads

2.8K
CRAN downloads in the past year
Rank #14,677 · ~8/day · ~235/mo
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17330 days
72390 days
2.8K1 year
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Also on99 r2u12 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.2.1
Imports (5)
geeexpmsplinesMASSenergy
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author
Listed in earlier versions (1)
no longer listed · 0.1.0 to 0.1.1
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2.1Latest
    2022-06-24 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2.0
    2018-08-09 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.1
    2016-07-28 · diff ↗
  • 0.1.0
    2016-07-19
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("VariableScreening")
Dziak, J., Huang, L., & Li, R. (2022). VariableScreening: High-Dimensional Screening for Semiparametric Longitudinal Regression (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.VariableScreening

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for VariableScreening version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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