Package: VBMS
Title: Variational Bayesian Algorithm for Multi-Source Heterogeneous
        Models
Version: 1.0.0
Authors@R: 
    c(person(given = "Lu",
             family = "Luo", 
             email = "luolu@stu.ynu.edu.cn",
             role = c("aut", "cre")),
      person(given = "Huiqiong",
             family = "Li",
             role = "aut"))
Description: 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) <doi:10.1080/01621459.2020.1847121>.
    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.
License: MIT + file LICENSE
Imports: pracma, selectiveInference, MASS
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-10-04 02:34:22 UTC; 11877
Author: Lu Luo [aut, cre],
  Huiqiong Li [aut]
Maintainer: Lu Luo <luolu@stu.ynu.edu.cn>
Repository: CRAN
Date/Publication: 2025-10-08 19:40:13 UTC
Built: R 4.6.0; ; 2026-04-28 12:55:43 UTC; unix
