# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ 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' doi: 10.32614/CRAN.package.glt 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) . 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://tonycanale.r-universe.dev commit: 16796f42149de86c839830ee0ba20ba09f624591 date-released: '2026-10-29' contact: - family-names: Canale given-names: Antonio email: antonio.canale@unipd.it