DESCRIPTION

Package: PopED
Type: Package
Title: Population (and Individual) Optimal Experimental Design
Version: 0.6.0.9002
Depends:
    R (>= 2.14)
Imports:
    ggplot2,
    MASS,
    mvtnorm,
    dplyr (>= 0.7.0),
    codetools,
    stats,
    utils,
    magrittr,
    boot,
    purrr,
    stringr,
    tibble,
    gtools
Suggests:
    testthat,
    Hmisc,
    nlme,
    GA,
    deSolve,
    Rcpp,
    shiny,
    rhandsontable,
    knitr,
    rmarkdown,
    gridExtra,
    covr,
    devtools,
    mrgsolve
Authors@R: c(
    person("Andrew C.","Hooker", email="andrew.hooker@farmaci.uu.se", 
      role=c("aut","cre","trl","cph"),
      comment=c(ORCID = "0000-0002-2676-5912")
    ),
    person("Marco","Foracchia", role="aut", comment="O-Matrix version"),
    person("Eric","Stroemberg", role="ctb", comment="MATLAB version"),
    person("Martin","Fink", role="ctb", comment="Streamlining code, added functionality, vignettes"),
    person("Giulia","Lestini", role="ctb", comment="Streamlining code, added functionality, vignettes"),
    person("Sebastian","Ueckert", role="aut", comment=c("MATLAB version",ORCID="0000-0002-3712-0255")),
    person("Joakim", "Nyberg", role="aut", 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. This package was developed
    for pharmacometric problems, and examples and predefined models are available
    for these types of systems. The methods are described in Nyberg et al. 
    (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004) 
    <doi:10.1016/S0169-2607(03)00073-7>.
License: LGPL (>= 3)
ByteCompile: true
URL: https://andrewhooker.github.io/PopED/, https://github.com/andrewhooker/PopED, 
BugReports: https://github.com/andrewhooker/PopED/issues
Copyright: 2014-2021 Andrew C. Hooker
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Config/Needs/website:
    mrgsolve,
    kableExtra,
    PKPDsim,
    rxode2