covmat.check {phylopairs}

covmat.check

Description

Tets for validity of a covariance matrix based on four conditions: symmetry, diagonal dominance, positive definiteness, and positive variance.

Usage

covmat.check(mat)

Arguments

mat

A putative covariance matrix.

Details

A valid covariance matrix must be symmetric, diagonally dominant (largest values in each row are on the diagonal), positive definite, and have positive variance. covmat.check takes a matrix as input and tests for these four conditions.

Value

A data.frame containing logical "TRUE" or "FALSE" for each condition.

Examples

# Load sample covariance matrix
data(sim.cov.pairs)
# Test for validity
covmat.check(sim.cov.pairs)