pcdpca
Dynamic Principal Components for Periodically Correlated Functional Time Series
Method extends multivariate and functional dynamic principal components to periodically correlated multivariate time series. This package allows you to compute true dynamic principal components in the presence of periodicity. We follow implementation guidelines as described in Kidzinski, Kokoszka and Jouzdani (2017), in Principal component analysis of periodically correlated functional time series doi:10.48550/arXiv.1612.00040.
- Version0.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release09/03/2017
Documentation
Team
Lukasz Kidzinski
Neda Jouzdani
Show author detailsRolesAuthorPiotr Kokoszka
Show author detailsRolesAuthor
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