# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "DSFM" in publications use:' type: software license: MIT title: 'DSFM: Distributed Skew Factor Model Estimation Methods' version: 1.0.1 doi: 10.32614/CRAN.package.DSFM abstract: Provides a distributed framework for simulating and estimating skew factor models under various skewed and heavy-tailed distributions. The methods support distributed data generation, aggregation of local estimators, and evaluation of estimation performance via mean squared error, relative error, and sparsity measures. The distributed principal component (PC) estimators implemented in the package include 'IPC' (Independent Principal Component),'PPC' (Project Principal Component), 'SPC' (Sparse Principal Component), and other related distributed PC methods. The methodological background follows Guo G. (2023) . authors: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com - family-names: Jin given-names: Yu repository: https://guangbaog.r-universe.dev commit: 359a1e483b1e9a2506f0887631b5cd3b4632c10e date-released: '2025-12-01' contact: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com