SparseFactorAnalysis: Scaling Count and Binary Data with Sparse Factor Analysis
Version 1.0

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.

Getting started

Package details

AuthorMarc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito
Date of publication2015-07-23 07:05:04
MaintainerMarc Ratkovic <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the SparseFactorAnalysis package in your browser

Any scripts or data that you put into this service are public.

SparseFactorAnalysis documentation built on May 29, 2017, 7:04 p.m.