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SparseFactorAnalysis (version 1.0)

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

Description

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.

Arguments

Details

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

References

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