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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "CoFM" in publications use:'
type: software
license: MIT
title: 'CoFM: Copula Factor Models'
version: 1.1.4
doi: 10.32614/CRAN.package.CoFM
abstract: Provides tools for factor analysis in high-dimensional settings under copula-based
  factor models. It includes functions to simulate factor-model data with copula-distributed
  idiosyncratic errors (e.g., Clayton, Gumbel, Frank, Student t and Gaussian copulas)
  and to perform diagnostic tests such as the Kaiser-Meyer-Olkin measure and Bartlett's
  test of sphericity. Estimation routines include principal component based factor
  analysis, projected principal component analysis, and principal orthogonal complement
  thresholding for large covariance matrix estimation. The philosophy of the package
  is described in Guo G. (2023) <https://doi.org/10.1007/s00180-022-01270-z>.
authors:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
- family-names: Gao
  given-names: Xin
repository: https://guangbaog.r-universe.dev
commit: 81e63bb21d55d2eed59a6e37f7e1e78f54224681
date-released: '2026-01-27'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com