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: 0.4.1
Imports: nloptr, methods, glue
Suggests: knitr, rmarkdown, testthat, covr, rpact, vdiffr, pwr, dplyr, ggplot2, tidyr, gridExtra, bookdown
Published: 2020-10-20
Author: Kevin Kunzmann [aut, cre], Maximilian Pilz [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann at mrc-bsu.cam.ac.uk>
BugReports: https://github.com/kkmann/adoptr/issues
License: MIT + file LICENSE
URL: https://github.com/kkmann/adoptr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: adoptr results

Downloads:

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_0.4.1.tar.gz
Windows binaries: r-devel: adoptr_0.3.2.zip, r-release: adoptr_0.4.1.zip, r-oldrel: adoptr_0.3.2.zip
macOS binaries: r-release: adoptr_0.4.1.tgz, r-oldrel: adoptr_0.4.1.tgz
Old sources: adoptr archive

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