iid_covariance: Compute part of the covariance under a strong white noise...
In wwntests: Hypothesis Tests for Functional Time Series
View source: R/covariance_functions.R
iid_covariance R Documentation
Compute part of the covariance under a strong white noise assumption
Description
'iid_covariance' A helper function used to compute one of the two independent sum terms in the
computation of the approximate covariance of the functional data under a strong white noise assumption.
Usage
iid_covariance(f_data)
Arguments
f_data
the functional data matrix with observed functions in the columns
Value
A 2-dimensional matrix containing one of the two independent sums in the computation of the
covariance.
wwntests documentation built on Nov. 1, 2022, 5:05 p.m.
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View source: R/covariance_functions.R
| iid_covariance | R Documentation |
Compute part of the covariance under a strong white noise assumption
Description
'iid_covariance' A helper function used to compute one of the two independent sum terms in the computation of the approximate covariance of the functional data under a strong white noise assumption.
Usage
iid_covariance(f_data)
Arguments
f_data |
the functional data matrix with observed functions in the columns |
Value
A 2-dimensional matrix containing one of the two independent sums in the computation of the covariance.
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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