Package: adoptr
Type: Package
Title: Adaptive Optimal Two-Stage Designs in R
Version: 0.3.2
Authors@R: c(
        person("Kevin", "Kunzmann", role = c("aut", "cre"), email = "kevin.kunzmann@mrc-bsu.cam.ac.uk"),
        person("Maximilian", "Pilz", role = c("aut"), email = "pilz@imbi.uni-heidelberg.de")
    )
Description: Optimize one or two-arm, two-stage designs for clinical trials with 
    respect to several pre-implemented objective criteria or implement custom 
    objectives.
    Optimization under uncertainty and conditional (given stage-one outcome) 
    constraints are supported.
    See Pilz M, Kunzmann K, Herrmann C, Rauch G, Kieser M. A variational 
    approach to optimal two-stage designs. Statistics in Medicine. 2019;38(21):4159–4171.
    <doi:10.1002/sim.8291> for details.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat, covr, rpact, vdiffr
Imports: nloptr, methods, glue
VignetteBuilder: knitr
Collate: adoptr.R util.R DataDistribution.R Prior.R PointMassPrior.R
        ContinuousPrior.R TwoStageDesign.R GroupSequentialDesign.R
        OneStageDesign.R Scores.R constraints.R minimize.R
        ConditionalPower.R ConditionalSampleSize.R regularization.R
        CompositeScore.R
RoxygenNote: 7.0.2
BugReports: https://github.com/kkmann/adoptr/issues
URL: https://github.com/kkmann/adoptr
NeedsCompilation: no
Packaged: 2020-01-08 15:59:08 UTC; kevin
Author: Kevin Kunzmann [aut, cre],
  Maximilian Pilz [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2020-01-09 14:20:14 UTC
