Package: MMGFM 1.1.0

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]

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

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3 exports 0.82 score 13 dependencies 6 scripts

Last updated 19 days agofrom:b54d1164a4. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:gendata_mmgfmMMGFMselectFac.MMGFM

Dependencies:codetoolsdoSNOWforeachGFMirlbaiteratorslatticeMASSMatrixMultiCOAPRcppRcppArmadillosnow