DESCRIPTION

Package: FarmCPUpp
Title: Perform GWAS Using the FarmCPU Model
Version: 1.2.0
Authors@R: person("Aaron", "Kusmec", email = "amkusmec@iastate.edu", role = c("aut", "cre"))
Description: Performs genome-wide association analyses using the FarmCPU model.
    Briefly, FarmCPU tests the significance of associations between genetic markers
    and phenotypes using the general linear model framework. After single-marker
    regression, FarmCPU divides the genome into bins and identifies a set of optimal
    markers to use as covariates in the next iteration. This approach, similar to
    that of the multi-locus mixed model, increases power and decreases the false
    discovery rate.
Depends:
    R (>= 3.3.2)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
    bigmemory,
    compiler,
    Rcpp,
    RcppEigen,
    RcppParallel,
    MASS,
    parallel,
    doParallel,
    foreach
LinkingTo: bigmemory,
    BH,
    Rcpp,
    RcppEigen,
    RcppParallel
RoxygenNote: 6.1.1
SystemRequirements: GNU make