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)MMGFM_1.2.1.zip(r-4.6)MMGFM_1.2.1.zip(r-4.5)
MMGFM_1.2.1.tgz(r-4.6-x86_64)MMGFM_1.2.1.tgz(r-4.6-arm64)MMGFM_1.2.1.tgz(r-4.5-x86_64)MMGFM_1.2.1.tgz(r-4.5-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://feiyoung.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/feiyoung/mmgfm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

4.59 score 13 scripts 195 downloads 3 exports 13 dependencies

Last updated from:2c8639feac. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING144
linux-devel-x86_64WARNING127
source / vignettesOK202
linux-release-arm64WARNING139
linux-release-x86_64WARNING146
macos-release-arm64WARNING124
macos-release-x86_64WARNING295
macos-oldrel-arm64WARNING96
macos-oldrel-x86_64WARNING298
windows-develWARNING163
windows-releaseWARNING135
windows-oldrelWARNING142
wasm-releaseOK110

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: 2025-02-04
Started: 2025-02-04

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

Last update: 2025-02-04
Started: 2025-02-04