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.


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install.packages("SparseFactorAnalysis")

1.0 by Marc Ratkovic, 2 years ago


Browse source code at https://github.com/cran/SparseFactorAnalysis


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