# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "shrinkr" in publications use:' type: software license: GPL-3.0-or-later title: 'shrinkr: Modular Bayesian Hierarchical Shrinkage Models' version: 0.4.5 doi: 10.32614/CRAN.package.shrinkr abstract: Implements a two-stage Bayesian hierarchical modeling framework for applying shrinkage to subgroup-specific effects. The package separates model fitting (Stage 1) from hierarchical shrinkage (Stage 2), enabling modular sensitivity analyses without refitting expensive Markov chain Monte Carlo (MCMC) chains. Supports flexible prior specifications through the 'distributional' package, mixture approximations via 'mclust', and efficient 'Stan'-based inference. authors: - family-names: Maronge given-names: Jacob M. email: jacob.m.maronge@gsk.com orcid: https://orcid.org/0000-0003-3606-0841 repository: https://gsk-biostatistics.r-universe.dev repository-code: https://github.com/GSK-Biostatistics/shrinkr commit: f0c6a08b69cba0edade9e87403217a78348c13e1 url: https://gsk-biostatistics.github.io/shrinkr/ date-released: '2026-06-29' contact: - family-names: Maronge given-names: Jacob M. email: jacob.m.maronge@gsk.com orcid: https://orcid.org/0000-0003-3606-0841