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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 vcvComp_1.0.2.tar.gz 461.1 KiB
1.0.2 rolling linux/noble R-4.5 vcvComp_1.0.2.tar.gz 461.1 KiB
1.0.2 rolling source/ R- vcvComp_1.0.2.tar.gz 419.2 KiB
1.0.2 latest linux/jammy R-4.5 vcvComp_1.0.2.tar.gz 461.1 KiB
1.0.2 latest linux/noble R-4.5 vcvComp_1.0.2.tar.gz 461.1 KiB
1.0.2 latest source/ R- vcvComp_1.0.2.tar.gz 419.2 KiB
1.0.2 2026-04-26 source/ R- vcvComp_1.0.2.tar.gz 419.2 KiB
1.0.2 2026-04-23 source/ R- vcvComp_1.0.2.tar.gz 419.2 KiB
1.0.2 2026-04-09 windows/windows R-4.5 vcvComp_1.0.2.zip 463.9 KiB
1.0.2 2025-04-20 source/ R- vcvComp_1.0.2.tar.gz 419.2 KiB

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