stm-package | Structural Topic Model |
checkBeta | Looks for words that load exclusively onto a topic |
checkResiduals | Residual dispersion test for topic number |
cloud | Plot a wordcloud |
estimateEffect | Estimates regressions using an STM object |
eval.heldout | Heldout Likelihood by Document Completion |
findThoughts | Find Thoughts |
gadarian | Gadarian and Albertson data |
gadarianFit | Gadarian and Albertson data |
labelTopics | Label topics |
make.heldout | Heldout Likelihood by Document Completion |
manyTopics | Performs model selection across separate STM's that each assume different numbers of topics. |
multiSTM | Analyze Stability of Local STM Mode |
permutationTest | Permutation test of a binary covariate. |
plot.estimateEffect | Plot effect of covariates on topics |
plot.findThoughts | Find Thoughts |
plot.MultimodDiagnostic | Plotting Method for Multimodality Diagnostic Objects |
plot.searchK | Plots diagnostic values resulting from searchK |
plot.STM | Plot summary of an STM object |
plot.STMpermute | Plot an STM permutation test. |
plot.topicCorr | Plot a topic correlation graph |
plotModels | Plots semantic coherence and exclusivity for high likelihood models outputted from selectModel. |
plotQuote | Plots strings |
plotRemoved | Plot documents, words and tokens removed at various word thresholds |
plotTopicLoess | Plot some effects with loess |
poliblog5k | CMU 2008 Political Blog Corpus |
poliblog5k.docs | CMU 2008 Political Blog Corpus |
poliblog5k.meta | CMU 2008 Political Blog Corpus |
poliblog5k.voc | CMU 2008 Political Blog Corpus |
prepDocuments | Prepare documents for analysis with 'stm' |
print.findThoughts | Find Thoughts |
print.labelTopics | Label topics |
print.MultimodDiagnostic | Analyze Stability of Local STM Mode |
print.sageLabels | Displays verbose labels that describe topics and topic-covariate groups in depth. |
print.STM | Summary Function for the STM objects |
readCorpus | Read in a corpus file. |
s | Make a B-spline Basis Function |
sageLabels | Displays verbose labels that describe topics and topic-covariate groups in depth. |
searchK | Computes diagnostic values for models with different values of K (number of topics). |
selectModel | Assists the user in selecting the best STM model. |
stm | Variational EM for the Structural Topic Model |
summary.STM | Summary Function for the STM objects |
textProcessor | Process a vector of raw texts |
thetaPosterior | Draw from Theta Posterior |
topicCorr | Estimate topic correlation |
topicQuality | Plots semantic coherence and exclusivity for each topic. |
writeLdac | Write a .ldac file |