r-lda
condav1.5.2Implements 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-or-later2 versions1 maintainers0 deps355 weekly dl
49
/ 100
Health
safe to use
[email protected] is safe to use (health: 49/100)
Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-ldaFirst published · 2021-05-23 05:25:20.148000+00:00
Last updated · 2025-09-17 16:49:52.642000+00:00