SparseFactorAnalysis

Author: Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito
Contact: https://cran.r-project.org/web/packages/SparseFactorAnalysis/index.htm
Description: SparseFactorAnalysis: 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.
Analyses: Dimensionality; Factor/Latent Structure; SEM
System Requirements: Windows, Mac, Linux
Measurement Model: Latent Structure
License Type: Open-Source (R)
Documentation: user manual