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) and Kunzmann et al. (2021) for details.


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adoptr

Adaptive optimal two-stage designs for clinical trials with one or two arms. For details on the core theoretical background, 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. https://doi.org/10.1002/sim.8291

Installation

Install the latest CRAN release via

install.packages("adoptr")

and the development version directly from GitHub with:

devtools::install_github("optad/adoptr")

Documentation

The documentation is hosted at https://optad.github.io/adoptr.

Validation Report

We provide an extensive validation report for adoptr which is implemented using the bookdown package. The sources are available at https://github.com/optad/adoptr-validation-report and the last build version is hosted at https://optad.github.io/adoptr-validation-report.

Reference manual

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install.packages("adoptr")

1.1.2 by Maximilian Pilz, 6 months ago


https://github.com/optad/adoptr, https://optad.github.io/adoptr/


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


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


Authors: Kevin Kunzmann [aut, cph] (ORCID: , Maximilian Pilz [aut, cre] (ORCID: , Jan Meis [aut] , Nico Bruder [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports nloptr, methods, glue

Suggests knitr, rmarkdown, testthat, covr, rpact, vdiffr, pwr, dplyr, ggplot2, tidyr, gridExtra, bookdown


Depended on by adestr.


See at CRAN