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

A Pipeline for Meta-Genome Wide Association
c(
person("Corinne", "Sexton", role = c("aut"), email="corinsexton@gmail.com"),
person("John", "Chaston", role = c("aut", "cre"), email = "john_chaston@byu.edu"),
person("Hayden", "Smith", role = "ctb")
)
Correlates variation within the meta-genome to target species
phenotype variations in meta-genome with association studies.
ape, coxme, doParallel, dplyr, foreach, iterators, lme4,
multcomp, parallel, plyr, qqman, survival, seqinr
Corinne Sexton [aut],
John Chaston [aut, cre],
Hayden Smith [ctb]

Correlates variation within the meta-genome to target species
phenotype variations in meta-genome with association studies. Follows
the pipeline described in Chaston, J.M. et al. (2014) <doi:10.1128/mBio.01631-14>.

Pedro Duarte Silva <psilva@porto.ucp.pt> Paula Brito
<mpbrito.fep.up.pt>
MAINT.Data implements methodologies for modelling Interval
Data, considering five different possible configurations
structures for the variance-covariance matrix.
R (>= 2.8.0), MASS, sn, methods, miscTools

Pedro Duarte Silva <psilva@porto.ucp.pt> Paula Brito <mpbrito.fep.up.pt>
MAINT.Data implements methodologies for modelling Interval Data, considering five different possible configurations structures for the variance-covariance matrix.

MAINT.Data implements methodologies for modelling interval data, considering appropriate parameterizations of the variance-covariance matrix that take into account the intrinsic nature of interval data, and lead to five different possible configuration structures.

Implements methodologies for modelling interval data, considering appropriate parameterizations of the variance-covariance matrix that take into account the intrinsic nature of interval data, and lead to five different possible configuration structures.