# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "GFM" in publications use:'
type: software
license: GPL-3.0-only
title: 'GFM: Generalized Factor Model'
version: 1.2.1
doi: 10.32614/CRAN.package.GFM
abstract: Generalized factor model is implemented for ultra-high dimensional data
  with mixed-type variables. Two algorithms, variational EM and alternate maximization,
  are designed to implement the generalized factor model, respectively. The factor
  matrix and loading matrix together with the number of factors can be well estimated.
  This model can be employed in social and behavioral sciences, economy and finance,
  and genomics, to extract interpretable nonlinear factors. More details can be referred
  to Wei Liu, Huazhen Lin, Shurong Zheng and Jin Liu. (2021) <https://doi.org/10.1080/01621459.2021.1999818>.
authors:
- family-names: Liu
  given-names: Wei
  email: LiuWeideng@gmail.com
- family-names: Lin
  given-names: Huazhen
- family-names: Zheng
  given-names: Shurong
- family-names: Liu
  given-names: Jin
- family-names: Nie
  given-names: Jinyu
repository: https://CRAN.R-project.org/package=GFM
repository-code: https://github.com/feiyoung/GFM
url: https://github.com/feiyoung/GFM
date-released: '2023-08-10'
contact:
- family-names: Liu
  given-names: Wei
  email: LiuWeideng@gmail.com