Estimation in Optimal Adaptive Two-Stage Designs R package adestr version 1.0.0 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) Methods to evaluate the performance characteristics of various point and interval estimators for optimal adaptive two-stage designs as described in Meis et al. (2024) <doi:10.1002/sim.10020>. Specifically, this package is written to work with trial designs created by the 'adoptr' package (Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09>; Pilz et al. (2021) <doi:10.1002/sim.8953>)). Apart from the a priori evaluation of performance characteristics, this package also allows for the evaluation of the implemented estimators on real datasets, and it implements methods to calculate p-values. Software Depends: R (>= 4.0.0), adoptr Imports: methods, stats, grDevices, cubature, ggplot2, ggpubr, scales, latex2exp, forcats, future.apply, progressr, Rdpack Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), microbenchmark Jan Meis <meis@imbi.uni-heidelberg.de> Comprehensive R Archive Network (CRAN) Jan Meis [aut, cre] (ORCID: <https://orcid.org/0000-0001-5407-7220>), Martin Maechler [cph] (ORCID: <https://orcid.org/0000-0002-8685-9910>, Original author of monoSpl.c (from the 'stats' package).) GPL (>= 2) 2024-07-12 application/tgz https://CRAN.R-project.org/package=adestr doi:10.32614/CRAN.package.adestr