historicalborrow: Non-Longitudinal Bayesian Historical Borrowing Models

Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.

Version: 1.0.4
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, Matrix, posterior, rjags, rlang, stats, tibble, tidyr, tidyselect, utils
Suggests: knitr, markdown, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-09-13
DOI: 10.32614/CRAN.package.historicalborrow
Author: William Michael Landau ORCID iD [aut, cre], Albert Man [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau at gmail.com>
BugReports: https://github.com/wlandau/historicalborrow/issues
License: MIT + file LICENSE
URL: https://wlandau.github.io/historicalborrow/, https://github.com/wlandau/historicalborrow
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: historicalborrow results


Reference manual: historicalborrow.pdf
Vignettes: Methods


Package source: historicalborrow_1.0.4.tar.gz
Windows binaries: r-devel: historicalborrow_1.0.4.zip, r-release: historicalborrow_1.0.4.zip, r-oldrel: historicalborrow_1.0.4.zip
macOS binaries: r-release (arm64): historicalborrow_1.0.4.tgz, r-oldrel (arm64): historicalborrow_1.0.4.tgz, r-release (x86_64): historicalborrow_1.0.4.tgz, r-oldrel (x86_64): historicalborrow_1.0.4.tgz


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