# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MultiRFM" in publications use:' type: software license: GPL-3.0-only title: 'MultiRFM: High-Dimensional Multi-Study Robust Factor Model' version: 1.1.0 doi: 10.32614/CRAN.package.MultiRFM abstract: We introduce a high-dimensional multi-study robust factor model, which learns latent features and accounts for the heterogeneity among source. It could be used for analyzing heterogeneous RNA sequencing data. More details can be referred to Jiang et al. (2025) . authors: - family-names: Liu given-names: Wei email: liuweideng@gmail.com - family-names: Jiang given-names: Xiaolu repository: https://feiyoung.r-universe.dev repository-code: https://github.com/feiyoung/MultiRFM commit: 824fae135dc022b99c14191b02b3fa905c269fbc url: https://github.com/feiyoung/MultiRFM date-released: '2025-11-28' contact: - family-names: Liu given-names: Wei email: liuweideng@gmail.com