as.docword()
|
Extract a Document by Word Matrix |
as.wfm()
|
Coerce to a Word Frequency Matrix |
as.worddoc()
|
Extract a Word by Document Matrix |
austin
|
austin: Do things with words |
bootstrap.se()
|
Compute Bootstrap Standard Errors |
classic.wordscores()
|
Old-Style Wordscores |
coef(<classic.wordscores>)
|
Show Wordscores |
coef(<wordfish>)
|
Extract Word Parameters |
daildata
|
The Irish No-Confidence debate |
demanif
|
German Party Manifesto Data |
demanif.econ
|
Economics sections of German Party Manifestos |
demanif.foreign
|
Foreign Policy Sections of German Party Manifestos |
demanif.soc
|
Societal sections of German Party Manifestos |
docs() `docs<-`()
|
Extract Document Names |
extractwords()
|
Pull Words From a List |
fitted(<wordfish>)
|
Get Fitted Values from a Wordfish Model |
getdocs()
|
Get Documents |
iebudget2009
|
Irish Budget Debate Data 2009 |
initialize.urfish()
|
initialize.urfish |
interestgroups
|
Interest Groups |
is.wfm()
|
Checks for Word Frequency Matrix |
jl_count_categories()
|
Get category counts from a dictionary |
jl_count_tokens()
|
Tabulate whatever the tokens are |
jl_count_words()
|
Get word counts |
jl_demote_counts()
|
Undo the effects of jl_promote_counts |
jl_dfm()
|
Extract a document feature matrix |
jl_doclen()
|
Get document lengths in tokens |
jl_filter()
|
Filter a corpus |
jl_identify()
|
Add a document identifier |
jl_incorporate()
|
Create a corpus |
jl_process_topics()
|
Create corpus from wide counts |
jl_promote_counts()
|
Make counts real variables in wide form |
jl_reindex()
|
Reindex counts variable |
jl_split()
|
Split a corpus into subunits |
jl_summarize_counts()
|
Collapse counts for grouped tibbles |
jl_tokenize_categories()
|
Create tokens using a dictionary |
jl_tokenize_words()
|
Split text into words |
jl_types()
|
Get the vocabulary under counts |
lbg
|
Example Data |
plot(<classic.wordscores>)
|
Plot a Wordscores Model |
plot(<coef.wordfish>)
|
Plot the Word Parameters From a Wordfish Model |
plot(<wordfish>)
|
Plot a Wordfish Model |
predict(<classic.wordscores>)
|
Predict New Document Positions |
predict(<wordfish>)
|
Predict Method for Wordfish |
rescale()
|
Rescale Estimated Document Positions |
sim.wordfish()
|
Simulate data and parameters for a Wordfish model |
summary(<classic.wordscores>)
|
Summarize an Classic Wordscores Model |
summary(<wordfish>)
|
Summarize a Wordfish Model |
trim()
|
Trim a Word Frequency Data |
ukmanif
|
UK Manifesto Data |
wfm()
|
Word Frequency Matrix |
wfm2bmr()
|
Transform Word Frequency Matrix for BMR/BLR |
wfm2lda()
|
Transform Word Frequency Matrix for lda |
wordfish()
|
Estimate a Wordfish Model |
wordfreqj()
|
Count Words in Documents |
wordmargin()
|
Which margin holds the words |
words() `words<-`()
|
Extract Words |