difference_fullcov: compute the difference between the full sample covariance and...
In covsep: Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable
Description
Usage
Arguments
Value
Details
Description
compute the difference between the full sample covariance and its separable
approximation
Usage
1
difference_fullcov(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 d1 x d2 x d1 x d2 array, where d1 = nrow(Data) and
d2 = ncol(Data).
Details
This is an internal function.
covsep documentation built on May 2, 2019, 11:12 a.m.
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Description Usage Arguments Value Details
Description
compute the difference between the full sample covariance and its separable approximation
Usage
1 | difference_fullcov(Data)
|
Arguments
Data |
a (non-empty) |
Value
A d1 x d2 x d1 x d2 array, where d1 = nrow(Data) and
d2 = ncol(Data).
Details
This is an internal function.
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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