Man pages for tidylda
Latent Dirichlet Allocation Using 'tidyverse' Conventions
| augment.tidylda | Augment method for 'tidylda' objects |
| calc_lambda | Calculate a matrix whose rows represent P(topic_i|tokens) |
| calc_lda_r2 | Calculate R-squared for a tidylda Model |
| calc_prob_coherence | Probabilistic coherence of topics |
| convert_dtm | Convert various things to a 'dgCMatrix' to work with various... |
| create_lexicon | Make a lexicon for looping over in the gibbs sampler |
| fit_lda_c | Main C++ Gibbs sampler for Latent Dirichlet Allocation |
| format_alpha | Format 'alpha' For Input into 'fit_lda_c' |
| format_eta | Format 'eta' For Input into 'fit_lda_c' |
| generate_sample | Generate a sample of LDA posteriors |
| glance.tidylda | Glance method for 'tidylda' objects |
| initialize_topic_counts | Initialize topic counts for gibbs sampling |
| new_tidylda | Construct a new object of class 'tidylda' |
| nih | Abstracts and metadata from NIH research grants awarded in... |
| posterior | Draw from the marginal posteriors of a tidylda topic model |
| predict.tidylda | Get predictions from a Latent Dirichlet Allocation model |
| print.tidylda | Print Method for tidylda |
| recover_counts_from_probs | Get Count Matrices from Beta or Theta (and Priors) |
| reexports | Objects exported from other packages |
| refit.tidylda | Update a Latent Dirichlet Allocation topic model |
| summarize_topics | Summarize a topic model consistently across methods/functions |
| tidy_dgcmatrix | Create a tidy tibble for a dgCMatrix |
| tidylda | Fit a Latent Dirichlet Allocation topic model |
| tidylda_bridge | Bridge function for fitting 'tidylda' topic models |
| tidylda-package | Latent Dirichlet Allocation Using 'tidyverse' Conventions |
| tidy.tidylda | Tidy a matrix from a 'tidylda' topic model |
| tidy_triplet | Utility function to tidy a simple triplet matrix |
