Package: pcdpca
Title: Dynamic Principal Components for Periodically Correlated
        Functional Time Series
Version: 0.2.1
Authors@R: c(person("Lukasz", "Kidzinski", email = "lukasz.kidzinski@stanford.edu", role = c("aut", "cre")), person("Neda", "Jouzdani", email = "neda.jouzdani@colostate.edu", role = c("aut")), person("Piotr", "Kokoszka", email = "piotr.kokoszka@colostate.edu", role = c("aut")))
Description: Method extends multivariate dynamic principal components to periodically correlated multivariate time series.
Depends: R (>= 3.3.1)
Imports: freqdom, fda
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-11-26 04:28:05 UTC; lukasz
Author: Lukasz Kidzinski [aut, cre],
  Neda Jouzdani [aut],
  Piotr Kokoszka [aut]
Maintainer: Lukasz Kidzinski <lukasz.kidzinski@stanford.edu>
Repository: CRAN
Date/Publication: 2016-11-27 00:06:38