| autos-motorcycles | Autos and Motorcycles (C-4) |
| bop | Birds of Prey (C-9) |
| calc_beta_topic_labels | Computes beta topic labels |
| calc_class_term_frequency | Calculate class term frequency matrix |
| calc_doc_cos | Computes cosine scores between documents in a corpus |
| calc_doc_lengths | Calculate document sizes |
| calc_doc_tf | Computes term frequency (tf) vectors for documents |
| calc_tfidf | Calculate TF-IDF values |
| calc_top_topic_words | Gets the most probable topical words |
| canis | Canis (C-8) |
| cats | Cats (C-6) |
| felines | Felines (C-7) |
| gen_corpus | Generates a synthetic corpus based on symmetric Dirichlets |
| gen_meshgrid | Generates a mesh-grid |
| gen_synth_corpus | Generates a synthetic corpus |
| get_grid_neighbors | Gets grid neighbors (used for Serial Tempering) |
| ibm-mac | PC Hardware and Mac Hardware (C-5) |
| lda_acgs | Augmented collapsed Gibbs sampler (ACGS) for LDA |
| lda_acgs_hs | The LDA Augmented Collapsed Gibbs sampler (ACGS) with... |
| lda_acgs_lppv_R | Log Posterior Predictive Value based on the Augmented... |
| lda_acgs_st | LDA: Serial Tempering with Perplexity Computation |
| lda_cgs_em | LDA: Gibbs-EM |
| lda_cgs_em_perplexity | LDA: Gibbs-EM with Perplexity Computation |
| lda_cgs_perplexity | LDA: Collapsed Gibbs Sampler with Perplexity Computation |
| lda_fgs | Full Gibbs sampler (FGS) for LDA |
| lda_fgs_acgs_ppc | Estimates Posterior Predictive Values (demo) |
| lda_fgs_BF_perplexity | LDA: Estimate Bayes Factors using Full Gibbs Sampler |
| lda_fgs_hs | The LDA Full Gibbs sampler (FGS) with Selection of h |
| lda_fgs_lppv | Computes Log Posterior Predictive Value for an LDA model: |
| lda_fgs_lppv_R | Log Posterior Predictive Value based on the Full Gibbs... |
| lda_fgs_perplexity | LDA: Full Gibbs Sampler with Perplexity Computation |
| lda_fgs_ppc | LDA: Full Gibbs Sampler with Posterior Predictive Value |
| lda_fgs_st | LDA Full Gibbs sampler (FGS) with Serial Tempering and Tuning |
| lda_fgs_st_perplexity | LDA: Serial Tempering with Perplexity Computation |
| ldamcmc | Markov chain Monte Carlo Algorithms for the Latent Dirichlet... |
| med-christian-baseball | Medicine, Christianity, and Baseball (C-1) |
| normalize | Normalizes a given matrix |
| plot_meshgrid | Plot a meshgrid |
| read_docs | Read documents |
| rec | Recreation (C-2) |
| 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 |
| sci | Science (C-3) |
| vectorize_docs | Vectorize the documents |
| whales | Whales |
| wt | Whales and Tires |
| wt16 | Whales and Tires (8 documents each) |
| wt16m | Whales and Tires (8 documents each) |
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