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: 1.0.1
Imports: nloptr, methods, glue
Suggests: knitr, rmarkdown, testthat, covr, rpact, vdiffr, pwr, dplyr, ggplot2, tidyr, gridExtra, bookdown
Published: 2024-06-07
DOI: 10.32614/CRAN.package.adoptr
Author: Kevin Kunzmann ORCID iD [aut, cph], Maximilian Pilz ORCID iD [aut, cre], Jan Meis ORCID iD [aut], Nico Bruder [aut]
Maintainer: Maximilian Pilz <maximilian.pilz at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: adoptr citation info
Materials: README NEWS
CRAN checks: adoptr results


Reference manual: adoptr.pdf
Vignettes: Get started with adoptr
The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R
Composite Scores
Conditional Scores and Constraints
Defining New Scores
Working with priors


Package source: adoptr_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): adoptr_1.0.1.tgz, r-oldrel (arm64): adoptr_1.0.1.tgz, r-release (x86_64): adoptr_1.0.1.tgz, r-oldrel (x86_64): adoptr_1.0.1.tgz
Old sources: adoptr archive

Reverse dependencies:

Reverse depends: adestr


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