person("Ashish", "Jain", role = c("aut", "cre"), email = "jain.ashishjain1@gmail.com"),
person("Mayank", "Tandon", role = c("aut"), email = "mtandon09@gmail.com"),
Imports: DT (>= 0.16.0), htmltools (>= 0.5.0), flexdashboard (>=
ComplexHeatmap (>= 2.2.0), circlize (>= 0.4.11), ggbeeswarm (>=

Title: Mixed Model Association Test for GEne-Environment Interaction
Authors@R: c(person("Xinyu", "Wang", role = c("aut", "cre"), email = "xinyu.wang@uth.tmc.edu"),
person("Han", "Chen", role = "aut", email = "han.chen.2@uth.tmc.edu"),
person("Duy", "Pham", role = "aut", email = "duy.t.pham@uth.tmc.edu"))
Description: Use a 'glmmkin' class object from the null generalized linear mixed-effect model (GLMM) to perform variant set-based main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Imports: Rcpp, Matrix, parallel, MASS, SeqArray, SeqVarTools, foreach,

Authors@R: c(person("Xinyu", "Wang", role = "aut", email = "xinyu.wang@uth.tmc.edu"),
person("Han", "Chen", role = c("aut", "cre"), email = "han.chen.2@uth.tmc.edu"),
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.

person("Duy", "Pham", role = "aut", email = "duy.t.pham@uth.tmc.edu"),
person("Kenneth", "Westerman", role = "aut", email = "KEWESTERMAN@mgh.harvard.edu"))

person("Kenneth", "Westerman", role = "aut", email = "KEWESTERMAN@mgh.harvard.edu"),
person("Cong", "Pan", role="aut", email = "cong.pan2uth.tmc.edu"))

person("Cong", "Pan", role="aut", email = "cong.pan@uth.tmc.edu"))

Title: A Pipeline for Meta-Genome Wide Association
person("Corinne", "Sexton", role = c("aut"), email="corinsexton@gmail.com"),
person("John", "Chaston", role = c("aut", "cre"), email = "john_chaston@byu.edu"),
Description: Correlates variation within the meta-genome to target species
phenotype variations in meta-genome with association studies.
Imports: ape, coxme, doParallel, dplyr, foreach, iterators, lme4,
multcomp, parallel, plyr, qqman, survival, seqinr
Packaged: 2017-04-26 16:47:25 UTC; coripenrod