Title: Tests for Genetic Association/Gene-Environment Interaction in
Author: Zihuai He, Seunggeun Lee, Bhramar Mukherjee, Min Zhang
Description: Functions for testing the genetic association/gene-environment interaction in longitudinal gene-environment-wide interaction studies. Generalized score type tests are used for set based analyses. Then GEE based score tests are applied to all single variants within the defined set.
Depends: CompQuadForm, SKAT, geeM, pls, splines
Packaged: 2015-10-12 13:14:06 UTC; statzihuai

Description: Functions for genome-wide association studies (GWAS)/gene-environment-wide interaction studies (GEWIS) with longitudinal outcomes and exposures. He et al. (2017) "Set-Based Tests for Gene-Environment Interaction in Longitudinal Studies" and He et al. (2017) "Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA)".
Depends: CompQuadForm, SKAT, geeM, splines, mvtnorm
Packaged: 2017-09-01 13:22:34 UTC; statzihuai

Title: Set-Based Tests for Genetic Association in Longitudinal Studies
Description: Functions for the longitudinal genetic random field method (He et al., 2015, <doi:10.1111/biom.12310>) to test the association between a longitudinally measured quantitative outcome and a set of genetic variants in a gene/region.
Packaged: 2015-09-12 17:07:13 UTC; statzihuai

Title: simulating Linkage Group Selection (LGS)
Description: The LGS package simulates the biological steps of a
linkage group selection experiment in order to gain insights
into the underlying biology. See Martinelli et al. (Proc Natl
Acad Sci U S A, 2005) for the LGS experimental procedure and
Hunt et al. (BMC Genomics, 2010) for an application of the
simulations implemented in this package.

Package: LHD
Type: Package
Title: Latin Hypercube Designs (LHDs) Algorithms
Version: 0.1.0
Author: Hongzhi Wang, Qian Xiao, Abhyuday Mandal
Maintainer: Hongzhi Wang <hw34508@uga.edu>
Description: Contains functions for finding space-filling Latin Hypercube Designs (LHDs), e.g. maximin distance LHDs.
Unlike other packages, our package is particularly useful in the area of Design and Analysis of Experiments (DAE). More
specifically, it is very useful in design of computer experiments. One advantage of our package is its comprehensiveness.
It contains a variety of heuristic algorithms (and their modifications) for searching maximin distance LHDs. In
addition to that, it also contains other useful tools for developing and constructing maximin distance LHDs.
In the future, algebraic construction methods will be added. Please refer to the function documentations for the detailed
references of each function. Among all the references we used, one reference should be highlighted here, which
is Ruichen Jin, Wei Chen, Agus Sudjianto (2005) <doi:10.1016/j.jspi.2004.02.014>. They provided a new form of phi_p
criterion, which does not lose the space-filling property and simultaneously reduces the computational complexity when
evaluating (or re-evaluating) an LHD. Their new phi_p criterion is a fundamental component of our many functions. Besides, the
computation nature of the new phi_p criterion enables our functions to have less CPU time.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, devtools
Imports: stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-10-06 15:04:56 UTC; Hongzhi Wang
Repository: CRAN
Date/Publication: 2019-10-07 20:00:02 UTC