Man pages for tidylda
Latent Dirichlet Allocation Using 'tidyverse' Conventions

augment.tidyldaAugment method for 'tidylda' objects
calc_lambdaCalculate a matrix whose rows represent P(topic_i|tokens)
calc_lda_r2Calculate R-squared for a tidylda Model
calc_prob_coherenceProbabilistic coherence of topics
convert_dtmConvert various things to a 'dgCMatrix' to work with various...
create_lexiconMake a lexicon for looping over in the gibbs sampler
fit_lda_cMain C++ Gibbs sampler for Latent Dirichlet Allocation
format_alphaFormat 'alpha' For Input into 'fit_lda_c'
format_etaFormat 'eta' For Input into 'fit_lda_c'
glance.tidyldaGlance method for 'tidylda' objects
initialize_topic_countsInitialize topic counts for gibbs sampling
new_tidyldaConstruct a new object of class 'tidylda'
nihAbstracts and metadata from NIH research grants awarded in...
posteriorDraw from the marginal posteriors of a tidylda topic model
predict.tidyldaGet predictions from a Latent Dirichlet Allocation model
print.tidyldaPrint Method for tidylda
recover_counts_from_probsGet Count Matrices from Beta or Theta (and Priors)
reexportsObjects exported from other packages
refit.tidyldaUpdate a Latent Dirichlet Allocation topic model
summarize_topicsSummarize a topic model consistently across methods/functions
tidy_dgcmatrixCreate a tidy tibble for a dgCMatrix
tidyldaFit a Latent Dirichlet Allocation topic model
tidylda_bridgeBridge function for fitting 'tidylda' topic models
tidylda-packageLatent Dirichlet Allocation Using 'tidyverse' Conventions
tidy.tidyldaTidy a matrix from a 'tidylda' topic model
tidy_tripletUtility function to tidy a simple triplet matrix
tidylda documentation built on Dec. 11, 2021, 10:02 a.m.