Package: MiRKAT
Title: Microbiome Regression-Based Analysis Tests
Version: 1.1.5
Authors@R: c(person("Anna", "Plantinga", role = c("aut", "cre"), email = "amp9@williams.edu"),
             person("Nehemiah", "Wilson", role = c("aut", "ctb")),
             person("Haotian", "Zheng", role = c("aut", "ctb")),
             person("Xiang", "Zhan", role = c("aut", "ctb")),
             person("Michael", "Wu", role = "aut"),
             person("Ni", "Zhao", role = c("aut", "ctb")),
	           person("Jun", "Chen", role = "aut"), 
	           person("Hongjiao", "Liu", role = c("aut", "ctb")))
Maintainer: Anna Plantinga <amp9@williams.edu>
Description: Test for overall association between microbiome composition data and phenotypes via phylogenetic kernels. 
  The phenotype can be univariate continuous or binary (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>), 
  survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>), 
  multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and 
  structured phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>). 
  The package can also use robust and quantile regression (unpublished work).  
  In each case, the microbiome community effect is modeled nonparametrically through a kernel function, 
  which can incorporate phylogenetic tree information. 
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Imports: MASS, CompQuadForm, quantreg, GUniFrac, PearsonDS, lme4,
        Matrix, permute, mixtools, survival, stats
Suggests: knitr, propr, cluster, dirmult, vegan, rmarkdown, tidyverse,
        kableExtra
VignetteBuilder: knitr, rmarkdown
Packaged: 2021-08-23 13:10:58 UTC; anna
Author: Anna Plantinga [aut, cre],
  Nehemiah Wilson [aut, ctb],
  Haotian Zheng [aut, ctb],
  Xiang Zhan [aut, ctb],
  Michael Wu [aut],
  Ni Zhao [aut, ctb],
  Jun Chen [aut],
  Hongjiao Liu [aut, ctb]
Repository: CRAN
Date/Publication: 2021-08-23 14:00:15 UTC
