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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 "LFM" in publications use:'
type: software
license: MIT
title: 'LFM: Laplace Factor Model Analysis and Evaluation'
version: 0.3.4
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), Perturbation Principal Component (PPC), Stochastic Approximation
  Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods
  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://cran.r-universe.dev
commit: cac7c4419b7ee2ce6f4e43682721294c49af33e7
date-released: '2026-06-10'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com