Package: VariableScreening
Type: Package
Title: High-Dimensional Screening for Semiparametric Longitudinal
        Regression
Version: 0.2.0
Authors@R: c(
    person("Runze","Li", email = "runzelipsu@gmail.com", role = "aut"),
    person("Liying","Huang", email = "lxh37@PSU.EDU", role = c("aut","cre")),
    person("John","Dziak", email = "jjd264@psu.edu", role ="aut"))
Depends: R (>= 3.2.1)
Description: 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>.
    Special thanks are due to Ling Zhang for providing detailed testing and proposing
    a method for speed improvement on the simulation of data with AR-1 structure.
Copyright: The Pennsylvania State University
Imports: gee, expm, splines, MASS, energy
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2018-08-08 18:48:11 UTC; admin_lxh37
Author: Runze Li [aut],
  Liying Huang [aut, cre],
  John Dziak [aut]
Maintainer: Liying Huang <lxh37@PSU.EDU>
Repository: CRAN
Date/Publication: 2018-08-09 08:40:04 UTC
Built: R 4.0.2; ; 2020-07-16 03:51:36 UTC; unix
