restructure_X_to_order_slowN_fastT: Restructures X (which is an 3D-array of dimensions (N,T,p) to...
In RCTS: Clustering Time Series While Resisting Outliers
View source: R/03_IFE_algorithm_functions.R
restructure_X_to_order_slowN_fastT R Documentation
Restructures X (which is an 3D-array of dimensions (N,T,p) to a 2D-matrix of dimension (NxT,p).
Description
Restructures X (which is an 3D-array of dimensions (N,T,p) to a 2D-matrix of dimension (NxT,p).
Usage
restructure_X_to_order_slowN_fastT(X, vars_est)
Arguments
X
input
vars_est
number of variables that will be included in the algorithm and have their coefficient estimated. This is usually equal to the number of observable variables.
Value
The function returns a 2D-array, unless the input X is NA, in which case the output will be NA as well.
RCTS documentation built on May 31, 2023, 9:20 p.m.
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View source: R/03_IFE_algorithm_functions.R
| restructure_X_to_order_slowN_fastT | R Documentation |
Restructures X (which is an 3D-array of dimensions (N,T,p) to a 2D-matrix of dimension (NxT,p).
Description
Restructures X (which is an 3D-array of dimensions (N,T,p) to a 2D-matrix of dimension (NxT,p).
Usage
restructure_X_to_order_slowN_fastT(X, vars_est)
Arguments
X |
input |
vars_est |
number of variables that will be included in the algorithm and have their coefficient estimated. This is usually equal to the number of observable variables. |
Value
The function returns a 2D-array, unless the input X is NA, in which case the output will be NA as well.
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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