| align_beta | Align Topics |
| calc_doc_lengths | Calculate document sizes |
| calc_top_topic_words | Gets the most probable topical words |
| clda | Algorithms for the Compound Latent Dirichlet Allocation Model |
| clda_ags | cLDA: Auxiliary Variable Update within Collpased Gibbs... |
| clda_ags_em | cLDA: Auxiliary Variable Update within Collpased Gibbs... |
| clda_ags_sample_alpha | cLDA: Auxiliary Variable Update within Collpased Gibbs... |
| clda_mgs | CLDA: MMALA within Gibbs sampler (with re-parameterization) |
| clda_vem | cLDA: Variational Expectation Maximization |
| gen_meshgrid | Generates a mesh-grid |
| gen_synth_clda_corpus | Generates a Synthetic c-LDA Corpus |
| gen_synth_clda_corpus_pi | Generates a Synthetic c-LDA Corpus (given the pi) matrix) |
| H | Entropy |
| JSD | Jensen-Shannon Divergence (pairwise) |
| JSD.matrix | Jensen-Shannon Divergence (for more than two distributions) |
| KLD | Kullback-Leibler Divergence |
| lda_cgs | LDA: Collapsed Gibbs Sampler with Perplexity Computation |
| news | 16 Newsgroups Dataset |
| nips | NIPS 00-18 Dataset |
| normalize | Normalizes a given matrix |
| plot_meshgrid | Plot a meshgrid |
| read_docs | Read documents |
| sample_antoniak | Samples from the Antoniak distribution |
| sample_dirichlet | Samples from a Dirichlet distribution given a hyperparameter |
| sample_multinomial | A speedy sampling from a multimomial distribution |
| vectorize_docs | Vectorize the documents |
| yelp | Yelp Dataset |
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