c(
person("Runze","Li", email = "runzelipsu@gmail.com", role = "aut"),
person("Liying","Huang", email = "lxh37@PSU.EDU", role = "aut"),
person("John","Dziak", email = "dziakj1@gmail.com", role = c("aut","cre")))
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>.
Runze Li [aut],
Liying Huang [aut],
John Dziak [aut, cre]

David Scott <d.scott@auckland.ac.nz> and Christine Yang Dong
<c.dong@auckland.ac.nz>
This package provides functions for the variance gamma
distributions. Density, distribution and quantile functions. In
addition, there are also functions for random number generation
and fitting of the variance gamma to data.

This package provides functions for the variance gamma
distributions. Density, distribution and quantile functions.
Functions for random number generation and fitting of the
variance gamma to data. Also, functions for computing moments
of the variance gamma distribution of any order about any
location. In addition, there are functions for checking the
validity of parameters and to interchange different sets of
parameterizatons for the variance gamma distribution.

David Scott <d.scott@auckland.ac.nz> and
Christine Yang Dong <c.dong@auckland.ac.nz>
Provides functions for the variance gamma
distribution. Density, distribution and quantile functions.
Functions for random number generation and fitting of the
variance gamma to data. Also, functions for computing moments
of the variance gamma distribution of any order about any
location. In addition, there are functions for checking the
validity of parameters and to interchange different sets of
parameterizations for the variance gamma distribution.