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SparseFactorAnalysis (version 1.0)

Scaling Count and Binary Data with Sparse Factor Analysis

Description

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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Version

Install

install.packages('SparseFactorAnalysis')

Monthly Downloads

37

Version

1.0

License

GPL (>= 2)

Maintainer

Last Published

July 23rd, 2015

Functions in SparseFactorAnalysis (1.0)

plot.sfa

Plotting output from sparse factor analysis.
SparseFactorAnalysis-package

Sparse factor analysis for mixed binary and count data.
grid-internal

Internal SFA Functions
summary.sfa

Summaries from sparse factor analysis.
sfa

Sparse factor analysis for mixed binary and count data.