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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "LFM" in publications use:'
type: software
license: MIT
title: 'LFM: Laplace Factor Model Analysis and Evaluation'
version: 0.1.0
doi: 10.32614/CRAN.package.LFM
abstract: Enables the generation of Laplace factor models across diverse Laplace distributions
  and facilitates the application of Sparse Online Principal Component (SOPC), Incremental
  Principal Component (IPC), Parallel Principal Component (PPC), Sparse Approximate
  Principal Component (SAPC), Standard Principal Component (SPC), and Farm Test methods
  to these models. Evaluates the efficacy of these methods within the context of Laplace
  factor models by scrutinizing parameter estimation accuracy, mean square error,
  and the degree of sparsity.
authors:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
- family-names: Liu
  given-names: Siqi
repository: https://guangbaog.r-universe.dev
commit: aad9234818f66bea11074d88d8e85a2fdad487a0
date-released: '2024-11-18'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com