Scaling Count and Binary Data with Sparse Factor Analysis

Multidimensional scaling provides a means of uncovering a latent structure underlying observed data, while estimating the number of latent dimensions. This package presents a means for scaling binary and count data, for example the votes and word counts for legislators. Future work will include an EM implementation and extend this work to ordinal and continuous data.


Reference manual

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1.0 by Marc Ratkovic, 2 years ago

Browse source code at

Authors: Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito

Documentation:   PDF Manual  

Task views: Psychometric Models and Methods

GPL (>= 2) license

Imports Rcpp, MASS, VGAM, truncnorm

Depends on directlabels, proto, ggplot2

Linking to Rcpp, RcppArmadillo

See at CRAN