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: | 0.3.2 |
Imports: | nloptr, methods, glue |
Suggests: | knitr, rmarkdown, testthat, covr, rpact, vdiffr |
Published: | 2020-01-09 |
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: |
quickstart Composite Scores Conditional Scores and Constraints Defining New Scores Working with priors |
Package source: | adoptr_0.3.2.tar.gz |
Windows binaries: | r-devel: adoptr_0.3.2.zip, r-release: adoptr_0.3.2.zip, r-oldrel: adoptr_0.3.2.zip |
macOS binaries: | r-release: adoptr_0.3.2.tgz, r-oldrel: adoptr_0.3.2.tgz |
Old sources: | adoptr archive |
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