Package: lda
Type: Package
Title: Collapsed Gibbs Sampling Methods for Topic Models
Version: 1.5.2
Date: 2024-04-25
Author: Jonathan Chang
Maintainer: Santiago Olivella <olivella@unc.edu>
Description: Implements latent Dirichlet allocation (LDA) and related
        models.  This includes (but is not limited to) sLDA, corrLDA,
        and the mixed-membership stochastic blockmodel.  Inference for
        all of these models is implemented via a fast collapsed Gibbs
        sampler written in C.  Utility functions for reading/writing
        data typically used in topic models, as well as tools for
        examining posterior distributions are also included.
License: LGPL (>= 2.1)
LazyLoad: yes
Imports: methods (>= 4.3.0)
Suggests: Matrix, reshape2, ggplot2 (>= 3.4.4), penalized, nnet
Depends: R (>= 4.3.0)
Repository: https://solivella.r-universe.dev
Date/Publication: 2024-04-26 21:29:21 UTC
RemoteUrl: https://github.com/solivella/lda
RemoteRef: HEAD
RemoteSha: 62c5e3a61411b0f54d5c38d4aaf54c2b65a711dc
NeedsCompilation: yes
Packaged: 2026-06-24 10:00:16 UTC; root