adoptr: 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 <doi:10.1002/sim.8291> and <doi:10.18637/jss.v098.i09> for details.

Version:	1.0.0
Imports:	nloptr, methods, glue
Suggests:	knitr, rmarkdown, testthat, covr, rpact, vdiffr, pwr, dplyr, ggplot2, tidyr, gridExtra, bookdown
Published:	2021-06-28
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
Citation:	adoptr citation info
Materials:	README NEWS
CRAN checks:	adoptr results

Documentation:

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

Downloads:

Package source:	adoptr_1.0.0.tar.gz
Windows binaries:	r-devel: adoptr_1.0.0.zip, r-release: adoptr_1.0.0.zip, r-oldrel: adoptr_1.0.0.zip
macOS binaries:	r-release (arm64): adoptr_1.0.0.tgz, r-oldrel (arm64): adoptr_1.0.0.tgz, r-release (x86_64): adoptr_1.0.0.tgz, r-oldrel (x86_64): adoptr_1.0.0.tgz
Old sources:	adoptr archive

Linking:

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