| 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 |
| convertCorpus | Convert 'stm' formatted documents to another format |
| estimateEffect | Estimates regressions using an STM object |
| eval.heldout | Heldout Likelihood by Document Completion |
| findThoughts | Find Thoughts |
| findTopic | Find topics that contain user specified words. |
| gadarian | Gadarian and Albertson data |
| gadarianFit | Gadarian and Albertson data |
| head.textProcessor | Process a vector of raw texts |
| 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 |
| print.textProcessor | Process a vector of raw texts |
| 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 |
| summary.textProcessor | Process a vector of raw texts |
| textProcessor | Process a vector of raw texts |
| thetaPosterior | Draw from Theta Posterior |
| toLDAvis | Wrapper to launch LDAvis topic browser. |
| topicCorr | Estimate topic correlation |
| topicLasso | Plot predictions using topics |
| topicQuality | Plots semantic coherence and exclusivity for each topic. |
| writeLdac | Write a .ldac file |