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vcvComp: Comparison of Variance - Covariance Patterns

Comparison of variance - covariance patterns using relative principal component analysis (relative eigenanalysis), as described in Le Maitre and Mitteroecker (2019) <doi:10.1111/2041-210X.13253>. Also provides functions to compute group covariance matrices, distance matrices, and perform proportionality tests. A worked sample on the body shape of cichlid fishes is included, based on the dataset from Kerschbaumer et al. (2013) <doi:10.5061/dryad.fc02f>.

Version: 1.0.2
Depends: R (≥ 3.6.0)
Suggests: knitr, rmarkdown, geomorph, scatterplot3d
Published: 2020-12-17
DOI: 10.32614/CRAN.package.vcvComp
Author: Anne Le Maitre ORCID iD [aut, cre], Philipp Mitteroecker [aut]
Maintainer: Anne Le Maitre <anne.le.maitre at univie.ac.at>
License: GPL-3
NeedsCompilation: no
Citation: vcvComp citation info
Materials: NEWS
CRAN checks: vcvComp results

Documentation:

Reference manual: vcvComp.pdf
Vignettes: vcvComp: worked example

Downloads:

Package source: vcvComp_1.0.2.tar.gz
Windows binaries: r-devel: vcvComp_1.0.2.zip, r-release: vcvComp_1.0.2.zip, r-oldrel: vcvComp_1.0.2.zip
macOS binaries: r-release (arm64): vcvComp_1.0.2.tgz, r-oldrel (arm64): vcvComp_1.0.2.tgz, r-release (x86_64): vcvComp_1.0.2.tgz, r-oldrel (x86_64): vcvComp_1.0.2.tgz
Old sources: vcvComp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vcvComp 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.