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 |
| 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_0.4.1.zip, r-release: adoptr_0.4.1.zip, r-oldrel: adoptr_0.4.1.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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