Function reference • keyATM

Preparation
`keyATM_read()`	Read texts
`read_keywords()`	Convert a quanteda dictionary to keywords
`visualize_keywords()`	Visualize keywords
Fitting models
`keyATM()`	keyATM main function
`keyATMvb()`	keyATM with Collapsed Variational Bayes
`weightedLDA()`	Weighted LDA main function
Checking results
`plot_alpha()`	Show a diagnosis plot of alpha
`plot_modelfit()`	Show a diagnosis plot of log-likelihood and perplexity
`plot_pi()`	Show a diagnosis plot of pi
`top_docs()`	Show the top documents for each topic
`top_topics()`	Show the top topics for each document
`top_words()`	Show the top words for each topic
Making plots
`plot_alpha()`	Show a diagnosis plot of alpha
`plot_modelfit()`	Show a diagnosis plot of log-likelihood and perplexity
`plot_pi()`	Show a diagnosis plot of pi
`plot_timetrend()`	Plot time trend
`plot_topicprop()`	Show the expected proportion of the corpus belonging to each topic
`save_fig()`	Save a figure
`values_fig()`	Get values used to create a figure
Additional analyses
`by_strata_DocTopic()`	Estimate document-topic distribution by strata (for covariate models)
`by_strata_TopicWord()`	Estimate subsetted topic-word distribution
`covariates_get()`	Return covariates used in the iteration
`covariates_info()`	Show covariates information
`plot(<strata_doctopic>)`	Plot document-topic distribution by strata (for covariate models)
`predict(<keyATM_output>)`	Predict topic proportions for the covariate keyATM
Diagnostics
`semantic_coherence()`	Semantic Coherence: Mimno et al. (2011)
Built-in data
`keyATM_data_bills`	Bills data
Misc.
`keyATM-package`	Keyword Assisted Topic Models
`multiPGreg()`	Run multinomial regression with Polya-Gamma augmentation

Reference

Preparation

Fitting models

Checking results

Making plots

Additional analyses

Diagnostics

Built-in data

Misc.