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 <doi:10.1002/sim.8291> and <doi:10.18637/jss.v098.i09> for details.

Version: 1.0.0
Imports: nloptr, methods, glue
Suggests: knitr, rmarkdown, testthat, covr, rpact, vdiffr, pwr, dplyr, ggplot2, tidyr, gridExtra, bookdown
Published: 2021-06-28
Author: Kevin Kunzmann ORCID iD [aut, cre], Maximilian Pilz ORCID iD [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
Citation: adoptr citation info
Materials: README NEWS
CRAN checks: adoptr results

Documentation:

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

Downloads:

Package source: adoptr_1.0.0.tar.gz
Windows binaries: r-devel: adoptr_1.0.0.zip, r-release: adoptr_1.0.0.zip, r-oldrel: adoptr_1.0.0.zip
macOS binaries: r-release (arm64): adoptr_1.0.0.tgz, r-release (x86_64): adoptr_1.0.0.tgz, r-oldrel: adoptr_1.0.0.tgz
Old sources: adoptr archive

Linking:

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