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baskexact: Analytical Calculation of Basket Trial Operating Characteristics

Analytically calculates the operating characteristics of single-stage and two-stage basket trials with equal sample sizes using the power prior design by Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988> and the design by Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>.

Version: 1.0.1
Imports: arrangements, doFuture, extraDistr, foreach, ggplot2, methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, knitr, progressr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-04-09
DOI: 10.32614/CRAN.package.baskexact
Author: Lukas Baumann ORCID iD [aut, cre]
Maintainer: Lukas Baumann <baumann at imbi.uni-heidelberg.de>
License: GPL (≥ 3)
URL: https://github.com/lbau7/baskexact
NeedsCompilation: yes
Materials: README
CRAN checks: baskexact results

Documentation:

Reference manual: baskexact.pdf
Vignettes: Introduction to baskexact
Extending baskexact
Reproduce Results From Fujikawa et al. (2020)

Downloads:

Package source: baskexact_1.0.1.tar.gz
Windows binaries: r-devel: baskexact_1.0.1.zip, r-release: baskexact_1.0.1.zip, r-oldrel: baskexact_1.0.1.zip
macOS binaries: r-release (arm64): baskexact_1.0.1.tgz, r-oldrel (arm64): baskexact_1.0.1.tgz, r-release (x86_64): baskexact_1.0.1.tgz, r-oldrel (x86_64): baskexact_1.0.1.tgz
Old sources: baskexact archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=baskexact to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.