# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "MultiLevelOptimalBayes" in publications use:'
type: software
license: GPL-3.0-only
title: 'MultiLevelOptimalBayes: ''MultiLevelOptimalBayes'': Regularized Bayesian Estimator
  for Two-Level Latent Variable Models'
version: 0.0.1.5
doi: 10.32614/CRAN.package.MultiLevelOptimalBayes
abstract: Implements a regularized Bayesian estimator that optimizes the estimation
  of between-group coefficients for multilevel latent variable models by minimizing
  Mean Squared Error (MSE), balancing both variance and bias. This 'MultiLevelOptimalBayes'
  package provides more reliable estimates in scenarios with limited data, offering
  a robust solution for accurate parameter estimation in multilevel models. It is
  designed for researchers in psychology, education, and related fields who face challenges
  in estimating between-group effects in two-level latent variable models, particularly
  in scenarios with small sample sizes and low intraclass correlation coefficients.
authors:
- family-names: Dashuk
  given-names: Valerii
  email: vadashuk@gmail.com
- family-names: Timilsina
  given-names: Binayak
  email: binayak.timilsina001@gmail.com
- family-names: Hecht
  given-names: Martin
  email: martin.hecht@hsu-hh.de
- family-names: Zitzmann
  given-names: Steffen
  email: steffen.zitzmann@medicalschool-hamburg.de
repository: https://dfkthbq01.r-universe.dev
commit: df6c12d65e1d7686ed52e36292861b02f62fd1c0
date-released: '2025-05-21'
contact:
- family-names: Dashuk
  given-names: Valerii
  email: vadashuk@gmail.com