CFPCA: Componentwise Multivariate Functional Principal Component...
In CrossD/RFPCA: Sparse and Dense Riemannian FPCA
CFPCA R Documentation
Componentwise Multivariate Functional Principal Component Analysis
Description
Implements the method of Happs and Grevens (2018) for Euclidean-valued multivariate functional data.
Usage
CFPCA(Ly, Lt, optns = list())
Arguments
Ly
A list of matrices, each being D by n_i containing the observed values for individual i. In each matrix, columes corresponds to different time points, and rows corresponds to ifferent dimensions.
Lt
A list of n vectors containing the observation time points for each individual corresponding to y. Each vector should be sorted in ascending order.
optns
A list of options control parameters specified by list(name=value). See the ‘Details’ section in '?FPCA'.
Value
See 'Return' in '?RFPCA'
CrossD/RFPCA documentation built on Aug. 24, 2023, 4:42 p.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.
| CFPCA | R Documentation |
Componentwise Multivariate Functional Principal Component Analysis
Description
Implements the method of Happs and Grevens (2018) for Euclidean-valued multivariate functional data.
Usage
CFPCA(Ly, Lt, optns = list())
Arguments
Ly |
A list of matrices, each being D by n_i containing the observed values for individual i. In each matrix, columes corresponds to different time points, and rows corresponds to ifferent dimensions. |
Lt |
A list of n vectors containing the observation time points for each individual corresponding to y. Each vector should be sorted in ascending order. |
optns |
A list of options control parameters specified by |
Value
See 'Return' in '?RFPCA'
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.