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.
| Version: | 1.0 |
| Depends: | directlabels, proto, ggplot2 |
| Imports: | Rcpp (≥ 0.11.4), MASS, VGAM, truncnorm |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2015-07-23 |
| Author: | Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito |
| Maintainer: | Marc Ratkovic <ratkovic at princeton.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| In views: | Psychometrics |
| CRAN checks: | SparseFactorAnalysis results |
| Reference manual: | SparseFactorAnalysis.pdf |
| Package source: | SparseFactorAnalysis_1.0.tar.gz |
| Windows binaries: | r-devel: SparseFactorAnalysis_1.0.zip, r-release: SparseFactorAnalysis_1.0.zip, r-oldrel: SparseFactorAnalysis_1.0.zip |
| macOS binaries: | r-release: SparseFactorAnalysis_1.0.tgz, r-oldrel: SparseFactorAnalysis_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SparseFactorAnalysis to link to this page.