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;1–13. for details.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("adoptr")

0.2.2 by Kevin Kunzmann, 2 months ago


https://github.com/kkmann/adoptr


Report a bug at https://github.com/kkmann/adoptr/issues


Browse source code at https://github.com/cran/adoptr


Authors: Kevin Kunzmann [aut, cre] , Maximilian Pilz [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports nloptr, methods

Suggests knitr, rmarkdown, testthat, covr, rpact, vdiffr


See at CRAN