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 <arXiv:1612.00040>.

Getting started

Package details

AuthorLukasz Kidzinski [aut, cre], Neda Jouzdani [aut], Piotr Kokoszka [aut]
MaintainerLukasz Kidzinski <lukasz.kidzinski@stanford.edu>
Package repositoryView on CRAN
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pcdpca documentation built on May 2, 2019, 3:38 p.m.