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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 "TFM" in publications use:'
type: software
license: MIT
title: 'TFM: Sparse Online Principal Component for TFM'
version: 0.1.0
doi: 10.32614/CRAN.package.TFM
abstract: The Truncated Factor Model is a statistical model designed to handle specific
  data structures in data analysis. This R package focuses on the Sparse Online Principal
  Component Estimation method, which is used to calculate data such as the loading
  matrix and specific variance matrix for truncated data, thereby better explaining
  the relationship between common factors and original variables. Additionally, the
  R package also provides other equations for comparison with the Sparse Online Principal
  Component Estimation method.The philosophy of the package is described in Guangbao
  Guo. (2023) <https://doi.org/10.1007/s00180-022-01270-z>.
authors:
- family-names: Wu
  given-names: Beibei
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
repository: https://guangbaog.r-universe.dev
commit: 96cd0d9dc89e5efab689dc9c65de5aebd364c42f
date-released: '2024-11-14'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com