covariance_i_j_vec: Compute the approximate covariance tensor for lag windows...
In wwntests: Hypothesis Tests for Functional Time Series
View source: R/covariance_functions.R
covariance_i_j_vec R Documentation
Compute the approximate covariance tensor for lag windows defined by i,j
Description
'covariance_i_j_vec' computes the approximate covariance tensor of the functional data for lag
windows defined by i,j; a vectorized version of covariance_i_j.
Usage
covariance_i_j_vec(f_data, i, j)
Arguments
f_data
the functional data matrix with observed functions in the columns
i, j
the indices i,j in 1:T that we are computing the covariance for
Value
A 4-dimensional array, encoding the covariance tensor of the functional data for lag
windows defined by i,j.
wwntests documentation built on May 29, 2024, 4:23 a.m.
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.
View source: R/covariance_functions.R
| covariance_i_j_vec | R Documentation |
Compute the approximate covariance tensor for lag windows defined by i,j
Description
'covariance_i_j_vec' computes the approximate covariance tensor of the functional data for lag windows defined by i,j; a vectorized version of covariance_i_j.
Usage
covariance_i_j_vec(f_data, i, j)
Arguments
f_data |
the functional data matrix with observed functions in the columns |
i, j |
the indices i,j in 1:T that we are computing the covariance for |
Value
A 4-dimensional array, encoding the covariance tensor of the functional data for lag windows defined by i,j.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.