CRAN/E | VariableScreening

VariableScreening

High-Dimensional Screening for Semiparametric Longitudinal Regression

Installation

About

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.

Copyright (c) 2022 by Runze LI

Key Metrics

Version 0.2.1
R ≥ 3.2.1
Published 2022-06-23 644 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks VariableScreening results

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Maintainer

Maintainer

John Dziak

dziakj1@gmail.com

Authors

Runze Li

aut

Liying Huang

aut

John Dziak

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

VariableScreening archive

Depends

R ≥ 3.2.1

Imports

gee
expm
splines
MASS
energy