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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 Kunzmann ORCID iD [aut, cph], Maximilian Pilz ORCID iD [aut, cre], Jan Meis ORCID iD [aut], Nico Bruder ORCID iD [aut]
Maintainer: Maximilian Pilz <maximilian.pilz at itwm.fraunhofer.de>
BugReports: https://github.com/optad/adoptr/issues
License: MIT + file LICENSE
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.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 form https://CRAN.R-project.org/package=adoptr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.