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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SFM" in publications use:'
type: software
license: MIT
title: 'SFM: A Package for Analyzing Skew Factor Models'
version: 0.1.0
doi: 10.32614/CRAN.package.SFM
abstract: Generates Skew Factor Models data and applies Sparse Online Principal Component
  (SOPC) method to estimate model parameters. It includes capabilities for calculating
  mean squared error, relative error, and sparsity of the loading matrix. Additionally,
  it includes robust regression methods such as adaptive Huber regression.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: Jin
  given-names: Yu
repository: https://guangbaog.r-universe.dev
commit: 07e4b16b50e0c0c51f86e82f8e834fa1b45c7e5a
date-released: '2024-11-12'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com