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MMGFM  

Multi-Study Multi-Modality Generalized Factor Model
View on CRAN: Click here


Download and install MMGFM package within the R console
Install from CRAN:
install.packages("MMGFM")

Install from Github:
library("remotes")
install_github("cran/MMGFM")

Install by package version:
library("remotes")
install_version("MMGFM", "1.1.0")



Attach the package and use:
library("MMGFM")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
First Published: 2024-09-03
Latest Update: 2024-09-03
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 augmentedcovariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number offactors. More details can be referred to Liu et al. (2024) <doi:10.48550/arXiv.2408.10542>.
How to cite:
Wei Liu (2024). MMGFM: Multi-Study Multi-Modality Generalized Factor Model. R package version 1.1.0, https://cran.r-project.org/web/packages/MMGFM. Accessed 07 Apr. 2025.
Previous versions and publish date:
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Complete documentation for MMGFM
Functions, R codes and Examples using the MMGFM R package
Full MMGFM package functions and examples
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