Package: MMGFM 1.2.1

Wei Liu

MMGFM: Multi-Study Multi-Modality Generalized Factor Model

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>.

Authors:Wei Liu [aut, cre], Qingzhi Zhong [aut]

MMGFM_1.2.1.tar.gz
MMGFM_1.2.1.zip(r-4.7-x86_64)MMGFM_1.2.1.zip(r-4.7-arm64)MMGFM_1.2.1.zip(r-4.6-x86_64)MMGFM_1.2.1.zip(r-4.6-arm64)
MMGFM_1.2.1.tar.gz(r-4.7-arm64)MMGFM_1.2.1.tar.gz(r-4.7-x86_64)MMGFM_1.2.1.tar.gz(r-4.6-arm64)MMGFM_1.2.1.tar.gz(r-4.6-x86_64)
MMGFM_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MMGFM/json (API)

# Install 'MMGFM' in R:
install.packages('MMGFM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

3.11 score 13 scripts 302 downloads 3 exports 13 dependencies

Last updated from:4f065aa3ef. Checks:8 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE122
linux-devel-x86_64NOTE130
source / vignettesOK203
linux-release-arm64NOTE119
linux-release-x86_64NOTE135
windows-devel-arm64NOTE214
windows-devel-x86_64NOTE163
windows-release-arm64NOTE212
windows-release-x86_64NOTE132
wasm-releaseOK108

Exports:gendata_mmgfmMMGFMselectFac.MMGFM

Dependencies:codetoolsdoSNOWforeachGFMirlbaiteratorslatticeMASSMatrixMultiCOAPRcppRcppArmadillosnow

MMGFM: simulation1
Generate the simulated data | Compare with other methods | Comparison of performance
Rendered fromsimu_MMGFM.Rmdusingknitr::rmarkdown

Last update: 2025-07-29
Started: 2025-07-29

MMGFM: simulation2
Generate the simulated data | Compare with other methods | Comparison of performance | Choose number of factors
Rendered fromsimu2_MMGFM.Rmdusingknitr::rmarkdown

Last update: 2025-07-29
Started: 2025-07-29