[aut,
cre]Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5) |
| Imports: | clue, irlba, imager, matlab, Matrix, RSpectra, tidyverse, GPArotation |
| Suggests: | elasticnet, ggcorrplot, rmarkdown, markdown, reshape2, matlabr, knitr, PMA |
| Published: | 2020-06-26 |
| Author: | Fan Chen [aut,
cre] |
| Maintainer: | Fan Chen <fan.chen at wisc.edu> |
| BugReports: | https://github.com/fchen365/epca/issues |
| License: | GPL-3 |
| URL: | https://github.com/fchen365/epca |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | epca results |
| Reference manual: | epca.pdf |
| Vignettes: |
Explore multivariate data with 'epca' |
| Package source: | epca_1.0.0.tar.gz |
| Windows binaries: | r-devel: epca_1.0.0.zip, r-release: epca_1.0.0.zip, r-oldrel: epca_1.0.0.zip |
| macOS binaries: | r-release: epca_1.0.0.tgz, r-oldrel: epca_1.0.0.tgz |
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