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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.