Sparse factor analysis for mixed binary and count data.
Multi-dimensional scaling provides a means of uncovering a latent structure underlying observed data. This package presents a means for scaling binary and count data, for example the votes and word counts for legislators.
|License:||GPL (>= 2)|
Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito Maintainer: Marc Ratkovic (email@example.com)
In Song Kim, John Londregan, and Marc Ratkovic. 2015. "Voting, Speechmaking, and the Dimensions of Conflict in the US Senate." Working paper.
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