epca: Exploratory Principal Component Analysis

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 ORCID iD [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

Downloads:

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 (arm64): epca_1.0.0.tgz, r-release (x86_64): epca_1.0.0.tgz, r-oldrel: epca_1.0.0.tgz

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