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 |
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