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bpca: Biplot Analysis for Multivariate Data Using Principal Components

Provides tools for creating 2D and 3D biplots of multivariate data based on principal components analysis, together with diagnostics for reduction quality and enhanced visualization of variables and objects.

Version: 1.4-3
Depends: R (≥ 4.1.0)
Imports: scatterplot3d, rgl, xtable
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-05-11
DOI: 10.32614/CRAN.package.bpca
Author: José C. Faria [aut, cre], Ivan B. Allaman [aut], Clarice G. B. Demétrio [aut]
Maintainer: José C. Faria <joseclaudio.faria at gmail.com>
BugReports: https://github.com/jcfaria/bpca/issues
License: GPL-2
URL: https://github.com/jcfaria/bpca
NeedsCompilation: no
Citation: bpca citation info
Materials: README, NEWS
In views: Psychometrics
CRAN checks: bpca results

Documentation:

Reference manual: bpca.html , bpca.pdf
Vignettes: bpca Overview (source)
LaTeX tables for bpca objects (source)

Downloads:

Package source: bpca_1.4-3.tar.gz
Windows binaries: r-devel: bpca_1.4-3.zip, r-release: bpca_1.4-3.zip, r-oldrel: bpca_1.4-3.zip
macOS binaries: r-release (arm64): bpca_1.4-3.tgz, r-oldrel (arm64): bpca_1.4-3.tgz, r-release (x86_64): bpca_1.4-3.tgz, r-oldrel (x86_64): bpca_1.4-3.tgz
Old sources: bpca archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bpca to link to this page.

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.