covsep (version 1.1.0)

marginal_covariances: estimates marginal covariances (e.g. row and column covariances) of bi-dimensional sample

Description

estimates marginal covariances (e.g. row and column covariances) of bi-dimensional sample

Usage

marginal_covariances(Data)

Arguments

Data

a (non-empty) N x d1 x d2 array of data values. The first direction indices the \(N\) observations, each consisting of a d1 x d2 discretization of the surface, so that Data[i,,] corresponds to the i-th observed surface.

Value

A list containing the row covariance (C1) and column covariance (C2)

Examples

# NOT RUN {
Data  <-  rmtnorm(30, C1, C2)
marginal.cov  <- marginal_covariances(Data)
# }