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# CITATION.cff 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 "glt" in publications use:'
type: software
license: GPL-2.0-only
title: 'glt: Bayesian Factor Modelling via Generalized Lower Triangular Priors'
version: '1.0'
abstract: Sparse Bayesian factor models for multivariate data, built around a flexible
  Generalized Lower Triangular (GLT) process prior on the loading matrix by Canale
  and Frühwirth-Schnatter (2026) <https://doi.org/10.48550/arXiv.2610.09762>. The
  number of active factors, their sparsity pattern, and the loadings themselves are
  learned jointly via a Markov chain Monte Carlo sampler implemented in C++ with 'Rcpp'
  and 'RcppArmadillo'.
authors:
- family-names: Canale
  given-names: Antonio
  email: antonio.canale@unipd.it
repository: https://cran.r-universe.dev
commit: 3c27f9e9e89a40619de65b2c52b67cee7bad88bd
date-released: '2026-10-29'
contact:
- family-names: Canale
  given-names: Antonio
  email: antonio.canale@unipd.it