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Dimensionality reduction techniques for binary data including logistic PCA.
Version: | 0.2 |
Imports: | ggplot2 |
Suggests: | rARPACK (≥ 0.10-0), testthat (≥ 0.11.0), knitr, rmarkdown |
Published: | 2016-03-14 |
DOI: | 10.32614/CRAN.package.logisticPCA |
Author: | Andrew J. Landgraf |
Maintainer: | Andrew J. Landgraf <andland at gmail.com> |
License: | MIT + file LICENSE |
URL: | https://github.com/andland/logisticPCA |
NeedsCompilation: | yes |
Citation: | logisticPCA citation info |
Materials: | README NEWS |
CRAN checks: | logisticPCA results |
Reference manual: | logisticPCA.pdf |
Vignettes: |
An Introduction to the 'logisticPCA' R Package |
Package source: | logisticPCA_0.2.tar.gz |
Windows binaries: | r-devel: logisticPCA_0.2.zip, r-release: logisticPCA_0.2.zip, r-oldrel: logisticPCA_0.2.zip |
macOS binaries: | r-release (arm64): logisticPCA_0.2.tgz, r-oldrel (arm64): logisticPCA_0.2.tgz, r-release (x86_64): logisticPCA_0.2.tgz, r-oldrel (x86_64): logisticPCA_0.2.tgz |
Old sources: | logisticPCA archive |
Reverse suggests: | glmpca |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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