adestr: Estimation in Optimal Adaptive Two-Stage Designs

Methods to evaluate the performance characteristics of various point and interval estimators for optimal adaptive two-stage designs. 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.

Version: 0.5.0
Depends: R (≥ 4.0.0)
Imports: methods, stats, grDevices, cubature, ggplot2, ggpubr, scales, latex2exp, forcats, future.apply, pracma, progressr, Rdpack
Suggests: covr, knitr, rmarkdown, testthat (≥ 3.0.0), microbenchmark
Published: 2023-09-27
Author: Jan Meis ORCID iD [aut, cre], Martin Maechler ORCID iD [cph] (Original author of monoSpl.c (from the 'stats' package).)
Maintainer: Jan Meis <meis at imbi.uni-heidelberg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: This package contains a modified version of the monotonic spline functions from the 'stats' package. Specifically, the code is containted in the files 'R/fastmonoHFC.R', 'src/fastmonoHFC.c', 'src/modreg.h' and 'src/monoSpl.c'. The R Core team and Martin Maechler are the copyright holders of the original code. Jan Meis is the copyright holder of everything else.
URL: https://jan-imbi.github.io/adestr/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: adestr results

Documentation:

Reference manual: adestr.pdf
Vignettes: Introduction to adestr

Downloads:

Package source: adestr_0.5.0.tar.gz
Windows binaries: r-prerel: adestr_0.5.0.zip, r-release: adestr_0.5.0.zip, r-oldrel: adestr_0.5.0.zip
macOS binaries: r-prerel (arm64): adestr_0.5.0.tgz, r-release (arm64): adestr_0.5.0.tgz, r-oldrel (arm64): adestr_0.5.0.tgz, r-prerel (x86_64): adestr_0.5.0.tgz, r-release (x86_64): adestr_0.5.0.tgz

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