watanabe-j/eigvaldisp: Statistics of Eigenvalue Dispersion Indices

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.

Getting started

Package details

Maintainer
LicenseGPL (>= 3)
Version0.0.0.9405
URL https://github.com/watanabe-j/eigvaldisp
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("watanabe-j/eigvaldisp")
watanabe-j/eigvaldisp documentation built on Dec. 8, 2023, 4:38 a.m.