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 [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

Documentation:

Reference manual:	epca.pdf
Vignettes:	Explore multivariate data with 'epca'

Downloads:

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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