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.

AuthorMarc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito
Date of publication2015-07-23 07:05:04
MaintainerMarc Ratkovic <ratkovic@princeton.edu>
LicenseGPL (>= 2)
Version1.0

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Files

SparseFactorAnalysis
SparseFactorAnalysis/src
SparseFactorAnalysis/src/Makevars
SparseFactorAnalysis/src/grad_est.h
SparseFactorAnalysis/src/grad_est.cpp
SparseFactorAnalysis/src/hmc4sfa.cpp
SparseFactorAnalysis/src/test_gamma_pois.cpp
SparseFactorAnalysis/src/Makevars.win
SparseFactorAnalysis/src/RcppExports.cpp
SparseFactorAnalysis/src/test_gamma_pois.h
SparseFactorAnalysis/NAMESPACE
SparseFactorAnalysis/R
SparseFactorAnalysis/R/Functions_Count.R SparseFactorAnalysis/R/RcppExports.R SparseFactorAnalysis/R/FunctionsInternal_Count.R SparseFactorAnalysis/R/sfa_utility.R SparseFactorAnalysis/R/FunctionsInternal_Count_EM.R
SparseFactorAnalysis/MD5
SparseFactorAnalysis/DESCRIPTION
SparseFactorAnalysis/man
SparseFactorAnalysis/man/sfa-internal.Rd SparseFactorAnalysis/man/sfa-package.Rd SparseFactorAnalysis/man/plot.sfa.Rd SparseFactorAnalysis/man/summary.sfa.Rd SparseFactorAnalysis/man/sfa.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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