sfa-package: Sparse factor analysis for mixed binary and count data.

Description Details Author(s) References


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.


Package: SparseFactorAnalysis
Type: Package
Version: 1.0
Date: 2015-03-21
License: GPL (>= 2)


Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito Maintainer: Marc Ratkovic (ratkovic@princeton.edu)


In Song Kim, John Londregan, and Marc Ratkovic. 2015. "Voting, Speechmaking, and the Dimensions of Conflict in the US Senate." Working paper.

SparseFactorAnalysis documentation built on May 19, 2017, 5:09 p.m.
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