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.

Author
Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito
Date of publication
2015-07-23 07:05:04
Maintainer
Marc Ratkovic <ratkovic@princeton.edu>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

plot.sfa
Plotting output from sparse factor analysis.
sfa
Sparse factor analysis for mixed binary and count data.
sfa-internal
Internal SFA Functions
sfa-package
Sparse factor analysis for mixed binary and count data.
summary.sfa
Summaries from sparse factor analysis.

Files in this package

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