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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'.
| Version: | 1.0 |
| Imports: | Rcpp, sparvaride |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2026-10-29 |
| DOI: | 10.32614/CRAN.package.glt (may not be active yet) |
| Author: | Antonio Canale [aut, cre] |
| Maintainer: | Antonio Canale <antonio.canale at unipd.it> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | glt results |
| Reference manual: | glt.html , glt.pdf |
| Package source: | glt_1.0.tar.gz |
| Windows binaries: | r-devel: glt_1.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): glt_1.0.tgz, r-oldrel (arm64): glt_1.0.tgz, r-release (x86_64): glt_1.0.tgz, r-oldrel (x86_64): glt_1.0.tgz |
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