glt - Bayesian Factor Modelling via Generalized Lower Triangular
Priors
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) <doi: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'.