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epca: Exploratory Principal Component Analysis

Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.

Version: 1.1.0
Depends: R (≥ 3.5)
Imports: clue, irlba, Matrix, GPArotation
Suggests: elasticnet, ggcorrplot, tidyverse, rmarkdown, reshape2, markdown, RSpectra, matlabr, knitr, PMA, testthat (≥ 3.0.0)
Published: 2023-07-10
DOI: 10.32614/CRAN.package.epca
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

Documentation:

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

Downloads:

Package source: epca_1.1.0.tar.gz
Windows binaries: r-devel: epca_1.1.0.zip, r-release: epca_1.1.0.zip, r-oldrel: epca_1.1.0.zip
macOS binaries: r-release (arm64): epca_1.1.0.tgz, r-oldrel (arm64): epca_1.1.0.tgz, r-release (x86_64): epca_1.1.0.tgz, r-oldrel (x86_64): epca_1.1.0.tgz
Old sources: epca archive

Reverse dependencies:

Reverse suggests: gdim

Linking:

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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.