Package: LRQVB
Title: Low Rank Correction Quantile 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 Low Rank Correction Variational Bayesian algorithm for high-dimensional multi-source 
    heterogeneous quantile 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 parameter 
    estimation are output: one is the standard variational Bayesian estimation, 
    and the other is the variational Bayesian estimation corrected with low-rank adjustment.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: Rcpp (>= 1.0.0), glmnet, lava, stats, MASS
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-10-21 01:52:59 UTC; 11877
Author: Lu Luo [aut, cre],
  Huiqiong Li [aut]
Maintainer: Lu Luo <luolu@stu.ynu.edu.cn>
Repository: CRAN
Date/Publication: 2025-10-25 12:00:07 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 06:09:29 UTC; unix
Archs: LRQVB.so.dSYM
