# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "VBMS" in publications use:' type: software license: MIT title: 'VBMS: Variational Bayesian Algorithm for Multi-Source Heterogeneous Models' version: 1.0.0 doi: 10.32614/CRAN.package.VBMS abstract: 'A Variational Bayesian algorithm for high-dimensional multi-source heterogeneous linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) . It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of Spike-and-Slab priors are available: the Laplace distribution and the Gaussian distribution as the Slab component.' authors: - family-names: Luo given-names: Lu email: luolu@stu.ynu.edu.cn - family-names: Li given-names: Huiqiong repository: https://luluo1999.r-universe.dev commit: 48cbc7dee9e5dba131ae665c3ef5f67ca77a9727 date-released: '2025-10-08' contact: - family-names: Luo given-names: Lu email: luolu@stu.ynu.edu.cn