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Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
Version: | 0.5.2 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, magrittr, purrr, ggplot2, RBesT, assertthat, stats, furrr, future |
Suggests: | knitr, rmarkdown, tidyr, tibble, testthat (≥ 3.0.0) |
Published: | 2023-08-14 |
DOI: | 10.32614/CRAN.package.tipmap |
Author: | Christian Stock |
Maintainer: | Christian Stock <christian.stock at boehringer-ingelheim.com> |
BugReports: | https://github.com/Boehringer-Ingelheim/tipmap/issues |
License: | Apache License 2.0 |
URL: | https://github.com/Boehringer-Ingelheim/tipmap |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | tipmap results |
Reference manual: | tipmap.pdf |
Vignettes: |
Determining a weight of the informative prior component Introduction to the 'tipmap' package |
Package source: | tipmap_0.5.2.tar.gz |
Windows binaries: | r-devel: tipmap_0.5.2.zip, r-release: tipmap_0.5.2.zip, r-oldrel: tipmap_0.5.2.zip |
macOS binaries: | r-release (arm64): tipmap_0.5.2.tgz, r-oldrel (arm64): tipmap_0.5.2.tgz, r-release (x86_64): tipmap_0.5.2.tgz, r-oldrel (x86_64): tipmap_0.5.2.tgz |
Old sources: | tipmap archive |
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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.
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