Statistics of eigenvalue dispersion indices of covariance and correlation matrices, common measures of phenotypic integration in biometrics, based on Watanabe (2022) <doi:10.1111/evo.14382>. The primary feature is to calculate expectation and variance (i.e., sampling bias and error) of eigenvalue dispersion indices for arbitrary population covariance structures under multivariate normality.
Package details |
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Maintainer | |
License | GPL (>= 3) |
Version | 0.0.0.9405 |
URL | https://github.com/watanabe-j/eigvaldisp |
Package repository | View on GitHub |
Installation |
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