Package: stm 1.3.7

stm: 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>. Vignette is Roberts et. al. (2019) <doi:10.18637/jss.v091.i02>.

Authors:Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb]

stm_1.3.7.tar.gz
stm_1.3.7.zip(r-4.7)stm_1.3.7.zip(r-4.6)stm_1.3.7.zip(r-4.5)
stm_1.3.7.tgz(r-4.6-x86_64)stm_1.3.7.tgz(r-4.6-arm64)stm_1.3.7.tgz(r-4.5-x86_64)stm_1.3.7.tgz(r-4.5-arm64)
stm_1.3.7.tar.gz(r-4.7-arm64)stm_1.3.7.tar.gz(r-4.7-x86_64)stm_1.3.7.tar.gz(r-4.6-arm64)stm_1.3.7.tar.gz(r-4.6-x86_64)
stm_1.3.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
stm/json (API)

# Install 'stm' in R:

install.packages('stm', repos = c('https://bstewart.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bstewart/stm/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

gadarian - Gadarian and Albertson data
gadarianFit - Gadarian and Albertson data
poliblog5k.docs - CMU 2008 Political Blog Corpus
poliblog5k.meta - CMU 2008 Political Blog Corpus
poliblog5k.voc - CMU 2008 Political Blog Corpus

On CRAN:

openblas cpp

13.07 score 418 stars 5 packages 2.0k scripts 5.2k downloads 12 mentions 49 exports 32 dependencies

Last updated from:bd034c13f3. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	232
linux-devel-x86_64	OK	214
source / vignettes	OK	257
linux-release-arm64	OK	236
linux-release-x86_64	OK	228
macos-release-arm64	OK	193
macos-release-x86_64	OK	390
macos-oldrel-arm64	OK	211
macos-oldrel-x86_64	OK	380
windows-devel	OK	239
windows-release	OK	255
windows-oldrel	OK	201
wasm-release	OK	139

Exports:alignCorpus asSTMCorpus calcfrex calclift calcscore checkBeta checkResiduals cloud convertCorpus estimateEffect eval.heldout exclusivity findThoughts findTopic fitNewDocuments js.estimate labelTopics make.dt make.heldout makeDesignMatrix manyTopics multiSTM optimizeDocument permutationTest plot.estimateEffect plot.searchK plot.STM plot.topicCorr plotModels plotQuote plotRemoved plotTopicLoess prepDocuments readCorpus readLdac s sageLabels searchK selectModel semanticCoherence stm textProcessor thetaPosterior toLDAvis toLDAvisJson topicCorr topicLasso topicQuality writeLdac

Dependencies:cli codetools data.table fastmatch foreach glmnet glue ISOcodes iterators jsonlite lattice lda lifecycle magrittr Matrix matrixStats quadprog quanteda Rcpp RcppArmadillo RcppEigen rlang shape slam SnowballC stopwords stringi stringr survival vctrs xml2 yaml

Using stm

Rendered fromstmVignette.Rnwusingutils::Sweave

Last update: 2020-09-18
Started: 2014-02-06

Help page	Topics
Structural Topic Model	stm-package
Align the vocabulary of a new corpus to an old corpus	alignCorpus
STM Corpus Coercion	asSTMCorpus
Looks for words that load exclusively onto a topic	checkBeta
Residual dispersion test for topic number	checkResiduals
Plot a wordcloud	cloud
Convert 'stm' formatted documents to another format	convertCorpus
Estimates regressions using an STM object	estimateEffect
Find Thoughts	findThoughts plot.findThoughts print.findThoughts
Find topics that contain user specified words.	findTopic
Fit New Documents	fitNewDocuments
Gadarian and Albertson data	gadarian gadarianFit
Label topics	labelTopics print.labelTopics
Make a 'data.table' of topic proportions.	make.dt
Heldout Likelihood by Document Completion	eval.heldout make.heldout
Performs model selection across separate STM's that each assume different numbers of topics.	manyTopics
Analyze Stability of Local STM Mode	multiSTM print.MultimodDiagnostic
Optimize Document	optimizeDocument
Permutation test of a binary covariate.	permutationTest
Plot effect of covariates on topics	plot.estimateEffect
Plotting Method for Multimodality Diagnostic Objects	plot.MultimodDiagnostic
Plots diagnostic values resulting from searchK	plot.searchK
Functions for plotting STM objects	plot.STM
Plot an STM permutation test.	plot.STMpermute
Plot a topic correlation graph	plot.topicCorr
Plots semantic coherence and exclusivity for high likelihood models outputted from selectModel.	plotModels
Plots strings	plotQuote
Plot documents, words and tokens removed at various word thresholds	plotRemoved
Plot some effects with loess	plotTopicLoess
CMU 2008 Political Blog Corpus	poliblog5k poliblog5k.docs poliblog5k.meta poliblog5k.voc
Prepare documents for analysis with 'stm'	prepDocuments
Read in a corpus file.	readCorpus
Read in a .ldac Formatted File	readLdac
Make a B-spline Basis Function	s
Displays verbose labels that describe topics and topic-covariate groups in depth.	print.sageLabels sageLabels
Computes diagnostic values for models with different values of K (number of topics).	searchK
Assists the user in selecting the best STM model.	selectModel
Variational EM for the Structural Topic Model	stm
Summary for estimateEffect	print.summary.estimateEffect summary.estimateEffect
Summary Function for the STM objects	print.STM summary.STM
Process a vector of raw texts	head.textProcessor print.textProcessor summary.textProcessor textProcessor
Draw from Theta Posterior	thetaPosterior
Wrapper to launch LDAvis topic browser.	toLDAvis
Wrapper to create Json mapping for LDAvis. This can be useful in indirect render e.g. Shiny Dashboards	toLDAvisJson
Estimate topic correlation	topicCorr
Plot predictions using topics	topicLasso
Plots semantic coherence and exclusivity for each topic.	topicQuality
Write a .ldac file	writeLdac

Package: stm 1.3.7

stm: Estimation of the Structural Topic Model

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Help Manual

Usage by other packages (reverse dependencies)