# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "CFM" in publications use:' type: software license: MIT title: 'CFM: Analyzing Censored Factor Models' version: 0.8.0 doi: 10.32614/CRAN.package.CFM abstract: Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) . authors: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com - family-names: Meng given-names: Tong email: tongm0601@163.com repository: https://guangbaog.r-universe.dev commit: 721ef35aad4a94bb8be1fc814af1cd872f258870 date-released: '2025-12-07' contact: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com