austin: austin: Do things with words
In conjugateprior/austin: Do Things with Words
Description
Austin helps you see what people, usually politicians, do with words.
Currently that means how positions on a presumed underlying
policy scale are taken by manipulating word occurrence counts.
The models implemented here try to
try to recover those positions using only this information, plus
some heroic assumptions about language generation, e.g.
unidimensionality, conditional independence of words given ideal point
and Poisson-distributed word counts.
Details
The package currently implements Wordfish (Slapin and Proksch, 2008) and
Wordscores (Laver, Benoit and Garry, 2003). See references for details.
conjugateprior/austin documentation built on May 11, 2021, 2:46 a.m.
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Description
Austin helps you see what people, usually politicians, do with words. Currently that means how positions on a presumed underlying policy scale are taken by manipulating word occurrence counts. The models implemented here try to try to recover those positions using only this information, plus some heroic assumptions about language generation, e.g. unidimensionality, conditional independence of words given ideal point and Poisson-distributed word counts.
Details
The package currently implements Wordfish (Slapin and Proksch, 2008) and Wordscores (Laver, Benoit and Garry, 2003). See references for details.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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