# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "lvmcomp" in publications use:'
type: software
license: GPL-3.0-only
title: 'lvmcomp: Stochastic EM Algorithms for Latent Variable Models with a High-Dimensional
  Latent Space'
version: '1.2'
doi: 10.32614/CRAN.package.lvmcomp
abstract: 'Provides stochastic EM algorithms for latent variable models with a high-dimensional
  latent space. So far, we provide functions for confirmatory item factor analysis
  based on the multidimensional two parameter logistic (M2PL) model and the generalized
  multidimensional partial credit model. These functions scale well for problems with
  many latent traits (e.g., thirty or even more) and are virtually tuning-free. The
  computation is facilitated by multiprocessing ''OpenMP'' API. For more information,
  please refer to: Zhang, S., Chen, Y., & Liu, Y. (2018). An Improved Stochastic EM
  Algorithm for Large-scale Full-information Item Factor Analysis. British Journal
  of Mathematical and Statistical Psychology. <https://doi.org/10.1111/bmsp.12153>.'
authors:
- family-names: Zhang
  given-names: Siliang
  email: zhangsiliang123@gmail.com
- family-names: Chen
  given-names: Yunxiao
repository: https://CRAN.R-project.org/package=lvmcomp
repository-code: https://github.com/slzhang-fd/lvmcomp
url: https://github.com/slzhang-fd/lvmcomp
date-released: '2018-12-19'
contact:
- family-names: Zhang
  given-names: Siliang
  email: zhangsiliang123@gmail.com