Package: MMGFM
Type: Package
Title: Multi-Study Multi-Modality Generalized Factor Model
Version: 1.2.1
Date: 2025-11-12
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "liuweideng@gmail.com"),
      person(given = "Qingzhi",
             family = "Zhong",
             role = c("aut")))
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: We introduce a generalized factor model designed to
        jointly analyze high-dimensional multi-modality data from
        multiple studies by extracting study-shared and specified
        factors. Our factor models account for heterogeneous noises and
        overdispersion among modality variables with augmented
        covariates. We propose an efficient and speedy variational
        estimation procedure for estimating model parameters, along
        with a novel criterion for selecting the optimal number of
        factors. More details can be referred to Liu et al. (2025)
        <doi:10.48550/arXiv.2507.09889>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, stats, GFM, MultiCOAP, Rcpp (>= 1.0.10)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Repository: https://feiyoung.r-universe.dev
Date/Publication: 2025-12-15 13:51:30 UTC
RemoteUrl: https://github.com/feiyoung/mmgfm
RemoteRef: HEAD
RemoteSha: 2c8639feacd49f4c4e432aefbb1874825634b19a
NeedsCompilation: yes
Packaged: 2026-06-16 08:59:01 UTC; root