uss2css: Convert sum-of-square and covariance matrices

In hlplab/MVBeliefUpdatr: Fitting, Summarizing, and Visualizing of Multivariate Gaussian Ideal Observers and Adaptors

Convert sum-of-square and covariance matrices

Description

Convert centered sum-of-square matrices (css), uncentered sum-of-square matrices (uss), and covariance matrices (cov) into each other.

Usage

uss2css(uss, n, mean)

css2uss(css, n, mean)

css2cov(css, n)

cov2css(cov, n)

Arguments

uss, css, cov	Uncentered sum-of-square, centered sum-of-square, and covariance matrix.
n	Number of observations that have gone into the sum-of-square matrix.
mean	Mean of the observations that have gone into the sum-of-square matrix.

Value

A square matrix.

See Also

ss, cov2cor, cor2cov, cov2tau

hlplab/MVBeliefUpdatr documentation built on March 29, 2025, 10:42 p.m.