# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "MultiEFM" in publications use:' type: software license: GPL-3.0-only title: 'MultiEFM: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics' version: 0.1.4 doi: 10.32614/CRAN.package.MultiEFM abstract: We introduce a multi-study high-dimensional factor analysis toolbox 'MultiEFM' based on the elliptical factor model framework, which learns latent heterogeneous features and accounts for cross-study variation among sources. It provides robust estimation algorithms for heterogeneous datasets, particularly tailored for multi-study RNA sequencing arrays and complex spatial multi-omics layers. The package implements highly efficient initialization strategies, identifiability constraints alignment, and computationally scalable parameter estimation paradigms. authors: - family-names: Zhang given-names: Ruihan email: ruihanzhang6166@gmail.com - family-names: Liu given-names: Wei email: liuweideng@gmail.com repository: https://cran.r-universe.dev repository-code: https://github.com/RRuihan-Zhang/MultiEFM commit: abc72c6f6304b511ede81deffc82eba9c90ab3e5 url: https://RRuihan-Zhang.github.io/MultiEFM/ date-released: '2026-08-03' contact: - family-names: Zhang given-names: Ruihan email: ruihanzhang6166@gmail.com