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: 2026-10-29 17:17:45 UTC; root
Author: Antonio Canale [aut, cre]
Maintainer: Antonio Canale <antonio.canale@unipd.it>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-29 16:17:56 UTC
RemoteUrl: https://github.com/cran/glt
RemoteRef: HEAD
RemoteSha: 3c27f9e9e89a40619de65b2c52b67cee7bad88bd