Package: Eagle
Type: Package
Title: Multiple Locus Association Mapping on a Genome-Wide Scale
Version: 2.5
Authors@R: c(
           person("Andrew", "George", role=c("aut", "cre"), email="geo047@gmail.com"),
           person("Joshua", "Bowden", role="ctb"),
           person("Ryan", "Stephenson", role="ctb"),
           person("Hyun", "Kang", role="ctb"),
           person("Noah", "Zaitlen", role="ctb"),
           person("Claire", "Wade", role="ctb"),
           person("Andrew", "Kirby", role="ctb"),
           person("David", "Heckerman", role="ctb"),
           person("Mark", "Daly", role="ctb"),
           person("Eleazar", "Eskin", role="ctb") )
Maintainer: Andrew George  <geo047@gmail.com>
Author: Andrew George [aut, cre],
  Joshua Bowden [ctb],
  Ryan Stephenson [ctb],
  Hyun Kang [ctb],
  Noah Zaitlen [ctb],
  Claire Wade [ctb],
  Andrew Kirby [ctb],
  David Heckerman [ctb],
  Mark Daly [ctb],
  Eleazar Eskin [ctb]
Description: An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and  outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This  opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.
License: GPL-3
Depends: R (>= 4.0), shinyFiles, shinyBS, ggplot2, ggthemes, plotly
Imports: R.utils, mmap, shiny, shinythemes, shinyjs, fontawesome,
        stats, utils, parallel, data.table
LinkingTo: RcppEigen, Rcpp
ByteCompile: TRUE
NeedsCompilation: yes
URL: http://eagle.r-forge.r-project.org
Contact: geo047@gmail.com
RoxygenNote: 7.1.2
Packaged: 2021-11-28 09:20:06 UTC; andrew
Repository: CRAN
Date/Publication: 2021-11-30 05:30:02 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-12-25 04:21:19 UTC; windows
Archs: x64
