DESCRIPTION

Package: mlmm
Title: An efficient multi-locus mixed-model approach for genome-wide association
    studies in structured populations
Version: 0.1.1
Authors@R: c(
    person("Vincent", "Segura", email="vincent.segura@orleans.inra.fr", role=c("aut")),
    person("Bjarni J.", "Vilhjalmsson", email="bjvl@birc.au.dk", role=c("aut")),
    person("Uemit", "Seren", email="uemit.seren@gmail.com", role=c("cre")),
    person("Timothee", "Flutre", email="timothee.flutre@supagro.inra.fr", role=c("ctb"))
    )
Description: The mlmm R package contains functions to carry out GWAS with MLMM
    and plot the results from the analysis. Two versions are currently available:
    mlmm, the original MLMM as described in Segura, Vilhjálmsson et al (Nat Gen
    2012), and mlmm_cof, a modified version of MLMM that allows including a fixed
    covariate in the association model, for example a matrix of principal components
    scores (MLMM version of the "PK" model) or any feature that would make sense to
    regress out (e.g. sex).
Depends:
    R (>= 3.2.2),
    emma (>= 1.1.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/Gregor-Mendel-Institute/mlmm
BugReports: https://github.com/Gregor-Mendel-Institute/mlmm/issues
Suggests:
    knitr,
    rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1