stm v1.3.3


Monthly downloads



Estimation of the Structural Topic Model

The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et al (2014) <doi:10.1111/ajps.12103> and Roberts et al (2016) <doi:10.1080/01621459.2016.1141684>.

Functions in stm

Name Description
gadarian Gadarian and Albertson data
js.estimate A James-Stein Estimator Shrinking to a Uniform Distribution
plotModels Plots semantic coherence and exclusivity for high likelihood models outputted from selectModel.
plotQuote Plots strings
topicLasso Plot predictions using topics
calcfrex Calculate FREX (FRequency and EXclusivity) Words
calclift Calculate Lift Words
exclusivity Exclusivity
findThoughts Find Thoughts
plot.STMpermute Plot an STM permutation test.
plot.estimateEffect Plot effect of covariates on topics
plotRemoved Plot documents, words and tokens removed at various word thresholds
topicQuality Plots semantic coherence and exclusivity for each topic.
plotTopicLoess Plot some effects with loess
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).
convertCorpus Convert stm formatted documents to another format
estimateEffect Estimates regressions using an STM object
findTopic Find topics that contain user specified words.
fitNewDocuments Fit New Documents
manyTopics Performs model selection across separate STM's that each assume different numbers of topics.
multiSTM Analyze Stability of Local STM Mode
readCorpus Read in a corpus file.
readLdac Read in a .ldac Formatted File
textProcessor Process a vector of raw texts
thetaPosterior Draw from Theta Posterior
toLDAvis Wrapper to launch LDAvis topic browser.
topicCorr Estimate topic correlation
calcscore Calculate Score Words
checkBeta Looks for words that load exclusively onto a topic
optimizeDocument Optimize Document
permutationTest Permutation test of a binary covariate.
rmvnorm Draw from a Multivariate Normal
s Make a B-spline Basis Function
summary.STM Summary Function for the STM objects
summary.estimateEffect Summary for estimateEffect
alignCorpus Align the vocabulary of a new corpus to an old corpus
asSTMCorpus STM Corpus Coercion
labelTopics Label topics
make.dt Make a data.table of topic proportions.
plot.searchK Plots diagnostic values resulting from searchK
plot.topicCorr Plot a topic correlation graph
poliblog5k CMU 2008 Political Blog Corpus
prepDocuments Prepare documents for analysis with stm
selectModel Assists the user in selecting the best STM model.
semanticCoherence Semantic Coherence
checkResiduals Residual dispersion test for topic number
cloud Plot a wordcloud
make.heldout Heldout Likelihood by Document Completion
makeDesignMatrix Make a Design Matrix
plot.MultimodDiagnostic Plotting Method for Multimodality Diagnostic Objects
plot.STM Functions for plotting STM objects
stm-package Structural Topic Model
stm Variational EM for the Structural Topic Model
unpack.glmnet Unpack a glmnet object
writeLdac Write a .ldac file
No Results!

Vignettes of stm

No Results!

Last month downloads


Type Package
Date 2018-1-26
LinkingTo Rcpp, RcppArmadillo
LazyData yes
License MIT + file LICENSE
RoxygenNote 6.0.1
NeedsCompilation yes
Packaged 2018-01-28 18:42:14 UTC; bms4
Repository CRAN
Date/Publication 2018-01-28 21:13:01 UTC

Include our badge in your README