Non-Longitudinal Bayesian Historical Borrowing Models R package historicalborrow version 1.1.1 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>. Software 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) William Michael Landau <will.landau.oss@gmail.com> Comprehensive R Archive Network (CRAN) William Michael Landau [aut, cre] (ORCID: <https://orcid.org/0000-0003-1878-3253>), Albert Man [rev], Eli Lilly and Company [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=historicalborrow/LICENSE) 2026-02-09 application/tgz https://CRAN.R-project.org/package=historicalborrow doi:10.32614/CRAN.package.historicalborrow en-US