DESCRIPTION

Package: PopED
Type: Package
Title: Population (and Individual) Optimal Experimental Design
Version: 0.3.0.9511
Depends:
    R (>= 2.14)
Imports:
    ggplot2,
    MASS,
    mvtnorm,
    dplyr,
    codetools,
    stats,
    utils
Suggests:
    testthat,
    Hmisc,
    nlme,
    GA,
    deSolve,
    shiny,
    rhandsontable
Authors@R: c(
    person("Andrew C.","Hooker", email="andrew.hooker@farmbio.uu.se", role=c("aut","cre","trl","cph")),
    person("Sebastian","Ueckert", role="aut", comment="MATLAB version"),
    person("Marco","Foracchia", role="aut", comment="O-Matrix version"),
    person("Joakim", "Nyberg", role="aut", comment="MATLAB version"),
    person("Eric","Stroemberg", role="ctb", comment="MATLAB version")
    )
Description: Optimal experimental designs for both population and individual
    studies based on nonlinear mixed-effect models. Often this is based on a
    computation of the Fisher Information Matrix (FIM). This package was developed
    for pharmacometric problems, and examples and predefined models are available
    for these types of systems.
License: LGPL (>= 3)
ByteCompile: true
URL: http://poped.sourceforge.net
BugReports: https://github.com/andrewhooker/PopED/issues
Copyright: 2014-2016 Andrew C. Hooker
LazyData: true
RoxygenNote: 5.0.1