r-lda

condav1.5.2

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-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

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First published · 2021-05-23 05:25:20.148000+00:00

Last updated · 2025-09-17 16:49:52.642000+00:00

r-lda — Health Score 49/100 | DepScope