Longitudinal Bayesian Historical Borrowing Models R package historicalborrowlong version 0.1.0 Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical 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 longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>. Software Depends: R (>= 4.0.0) Imports: clustermq, dplyr, ggplot2, MASS, Matrix, methods, posterior, Rcpp, RcppParallel, rlang, rstan (>= 2.26.0), rstantools, stats, tibble, tidyr, tidyselect, trialr, utils, withr, zoo LinkingTo: BH, Rcpp, RcppEigen, RcppParallel, rstan (>= 2.26.0), StanHeaders (>= 2.26.0) 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=historicalborrowlong/LICENSE) 2024-09-25 application/tgz https://CRAN.R-project.org/package=historicalborrowlong doi:10.32614/CRAN.package.historicalborrowlong en-US