Package: MMGFM 1.1.0

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. (2024) <doi:10.48550/arXiv.2408.10542>.

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

MMGFM_1.1.0.tar.gz
MMGFM_1.1.0.tar.gz(r-4.5-noble)MMGFM_1.1.0.tar.gz(r-4.4-noble)
MMGFM_1.1.0.tgz(r-4.4-emscripten)MMGFM_1.1.0.tgz(r-4.3-emscripten)
MMGFM.pdf |MMGFM.html✨
MMGFM/json (API)

# Install 'MMGFM' in R:
install.packages('MMGFM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

openblascppopenmp

1.00 score 178 downloads 3 exports 13 dependencies

Last updated 5 months agofrom:de8298d633. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-linux-x86_64NOTEFeb 01 2025

Exports:gendata_mmgfmMMGFMselectFac.MMGFM

Dependencies:codetoolsdoSNOWforeachGFMirlbaiteratorslatticeMASSMatrixMultiCOAPRcppRcppArmadillosnow