marginal_covariances: estimates marginal covariances (e.g. row and column...
In covsep: Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable
Description
Usage
Arguments
Value
Examples
Description
estimates marginal covariances (e.g. row and column covariances) of bi-dimensional sample
Usage
1
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
1
2
Data <- rmtnorm(30, C1, C2)
marginal.cov <- marginal_covariances(Data)
covsep documentation built on May 2, 2019, 11:12 a.m.
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Description Usage Arguments Value Examples
Description
estimates marginal covariances (e.g. row and column covariances) of bi-dimensional sample
Usage
1 | marginal_covariances(Data)
|
Arguments
Data |
a (non-empty) |
Value
A list containing the row covariance (C1) and column covariance (C2)
Examples
1 2 | Data <- rmtnorm(30, C1, C2)
marginal.cov <- marginal_covariances(Data)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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