# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "historicalborrowlong" in publications use:' type: software license: MIT title: 'historicalborrowlong: Longitudinal Bayesian Historical Borrowing Models' version: 0.1.1 doi: 10.32614/CRAN.package.historicalborrowlong abstract: 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) . authors: - family-names: Landau given-names: William Michael email: will.landau.oss@gmail.com orcid: https://orcid.org/0000-0003-1878-3253 repository: https://cran.r-universe.dev repository-code: https://github.com/wlandau/historicalborrowlong commit: 9085dfc56277a29924b8570b3a455f8aad14eb7b url: https://wlandau.github.io/historicalborrowlong/ date-released: '2026-09-13' contact: - family-names: Landau given-names: William Michael email: will.landau.oss@gmail.com orcid: https://orcid.org/0000-0003-1878-3253