lda-package

This package contains functions to read in text corpora, fit
  LDA-type models to them, and use the fitted models to explore the data
  and make predictions.

package

This package 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 writtten in C.  Utility functions for
        reading/writing data typically used in topic models, as well as
        tools for examining posterior distributions are also included.

lda-package: Collapsed Gibbs Samplers and Related Utility Functions for LDA-type Models

Description

Arguments

Details

References

See Also

Examples