CRAN/E | pcdpca

pcdpca

Dynamic Principal Components for Periodically Correlated Functional Time Series

Installation

About

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 .

Key Metrics

Version 0.4
R ≥ 3.3.1
Published 2017-09-03 2428 days ago
Needs compilation? no
License GPL-3
CRAN checks pcdpca results

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Maintainer

Maintainer

Lukasz Kidzinski

lukasz.kidzinski@stanford.edu

Authors

Lukasz Kidzinski

aut / cre

Neda Jouzdani

aut

Piotr Kokoszka

aut

Material

README
Reference manual
Package source

In Views

FunctionalData
TimeSeries

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pcdpca archive

Depends

R ≥ 3.3.1

Imports

freqdom
fda