# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "LatentBMA" in publications use:'
type: software
license: MIT
title: 'LatentBMA: Bayesian Model Averaging for Univariate Link Latent Gaussian Models'
version: 0.1.1
doi: 10.48550/arXiv.2406.17318
identifiers:
- type: doi
  value: 10.32614/CRAN.package.LatentBMA
abstract: Bayesian model averaging (BMA) algorithms for univariate link latent Gaussian
  models (ULLGMs). For detailed information, refer to Steel M.F.J. & Zens G. (2024)
  "Model Uncertainty in Latent Gaussian Models with Univariate Link Function" <https://doi.org/10.48550/arXiv.2406.17318>.
  The package supports various g-priors and a beta-binomial prior on the model space.
  It also includes auxiliary functions for visualizing and tabulating BMA results.
  Currently, it offers an out-of-the-box solution for model averaging of Poisson log-normal
  (PLN) and binomial logistic-normal (BiL) models. The codebase is designed to be
  easily extendable to other likelihoods, priors, and link functions.
authors:
- family-names: Zens
  given-names: Gregor
  email: zens@iiasa.ac.at
- family-names: Steel
  given-names: Mark F.J.
preferred-citation:
  type: article
  title: Model Uncertainty in Latent Gaussian Models with Univariate Link Function
  authors:
  - family-names: Steel
    given-names: Mark F.J.
  - family-names: Zens
    given-names: Gregor
    email: zens@iiasa.ac.at
  year: '2024'
  journal: arXiv Report
  doi: 10.48550/arXiv.2406.17318
repository: https://CRAN.R-project.org/package=LatentBMA
date-released: '2024-07-01'
contact:
- family-names: Zens
  given-names: Gregor
  email: zens@iiasa.ac.at