Package: glt
Title: Bayesian Factor Modelling via Generalized Lower Triangular
        Priors
Version: 1.0
Authors@R: 
    person("Antonio", "Canale", , "antonio.canale@unipd.it", role = c("aut", "cre"))
Description: 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'.
License: GPL-2
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, sparvaride
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-10-19 11:18:16 UTC; antonio
Author: Antonio Canale [aut, cre]
Maintainer: Antonio Canale <antonio.canale@unipd.it>
Repository: CRAN
Date/Publication: 2026-10-29 11:10:01 UTC
Built: R 4.6.1; x86_64-apple-darwin20; 2026-10-29 12:31:05 UTC; unix
Archs: glt.so.dSYM
