adoptr: Adaptive Optimal Two-Stage Designs in R

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.

Version: 0.4.2
Imports: nloptr, methods, glue, stringr
Suggests: knitr, rmarkdown, testthat, covr, rpact, vdiffr, pwr, dplyr, ggplot2, tidyr, gridExtra, bookdown
Published: 2021-05-28
Author: Kevin Kunzmann ORCID iD [aut, cre], Maximilian Pilz ORCID iD [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann at>
License: MIT + file LICENSE
NeedsCompilation: no
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_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): adoptr_0.4.2.tgz, r-release (x86_64): adoptr_0.4.2.tgz, r-oldrel: adoptr_0.4.2.tgz
Old sources: adoptr archive


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