tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Mainly an implementation of an approach proposed by Best and colleagues (2021) is provided <doi:10.1002/pst.2093>. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.

Version: 0.1.7
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, RBesT
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-07-12
Author: Morten Dreher [aut], Christian Stock ORCID iD [aut, cre]
Maintainer: Christian Stock <christian.stock at boehringer-ingelheim.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tipmap results


Reference manual: tipmap.pdf


Package source: tipmap_0.1.7.tar.gz
Windows binaries: r-devel: tipmap_0.1.7.zip, r-release: tipmap_0.1.7.zip, r-oldrel: tipmap_0.1.7.zip
macOS binaries: r-release (arm64): tipmap_0.1.7.tgz, r-oldrel (arm64): tipmap_0.1.7.tgz, r-release (x86_64): tipmap_0.1.7.tgz, r-oldrel (x86_64): tipmap_0.1.7.tgz
Old sources: tipmap archive


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