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adoptr: Adaptive Optimal Two-Stage Designs

Optimize one or two-arm, two-stage designs for clinical trials with respect to several implemented objective criteria or custom objectives. Optimization under uncertainty and conditional (given stage-one outcome) constraints are supported. See Pilz et al. (2019) <doi:10.1002/sim.8291> and Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09> for details.

Version:1.1.1
Imports:nloptr, methods,glue
Suggests:knitr,rmarkdown,testthat,covr,rpact,vdiffr,pwr,dplyr,ggplot2,tidyr,gridExtra,bookdown
Published:2024-10-02
DOI:10.32614/CRAN.package.adoptr
Author:Kevin KunzmannORCID iD [aut, cph], Maximilian PilzORCID iD [aut, cre], Jan MeisORCID iD [aut], Nico BruderORCID iD [aut]
Maintainer:Maximilian Pilz <maximilian.pilz at itwm.fraunhofer.de>
BugReports:https://github.com/optad/adoptr/issues
License:MIT + fileLICENSE
URL:https://github.com/optad/adoptr,https://optad.github.io/adoptr/
NeedsCompilation:no
Citation:adoptr citation info
Materials:README,NEWS
CRAN checks:adoptr results

Documentation:

Reference manual:adoptr.html ,adoptr.pdf
Vignettes:Get started with adoptr (source,R code)
The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R (source,R code)
Composite Scores (source,R code)
Conditional Scores and Constraints (source,R code)
Defining New Scores (source,R code)
Designs for non-normal Endpoints with approximately normal test statistics (source,R code)
Working with priors (source,R code)

Downloads:

Package source: adoptr_1.1.1.tar.gz
Windows binaries: r-devel:adoptr_1.1.1.zip, r-release:adoptr_1.1.1.zip, r-oldrel:adoptr_1.1.1.zip
macOS binaries: r-release (arm64):adoptr_1.1.1.tgz, r-oldrel (arm64):adoptr_1.1.1.tgz, r-release (x86_64):adoptr_1.1.1.tgz, r-oldrel (x86_64):adoptr_1.1.1.tgz
Old sources: adoptr archive

Reverse dependencies:

Reverse depends:adestr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=adoptrto link to this page.


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