The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

logisticPCA: Binary Dimensionality Reduction

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
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

Documentation:

Reference manual: logisticPCA.pdf
Vignettes: An Introduction to the 'logisticPCA' R Package

Downloads:

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 dependencies:

Reverse suggests: glmpca

Linking:

Please use the canonical form https://CRAN.R-project.org/package=logisticPCA to link to this page.

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.
Health stats visible at Monitor.