R Observatory: Metrics for pcdpca version 0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-06-13. Its history is shown below.

Reason: issues were not corrected despite reminders

Details below reflect version 0.4, its last release before removal.

pcdpca

0.4Package record

Dynamic Principal Components for Periodically Correlated Functional Time Series

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Lukasz KidzinskiCRAN page ↗

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.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/pcdpca/pcdpca_0.4.tar.gz"
pkgFile <- "pcdpca_0.4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4

READMEYes · 106 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 100%1 run in a plain check
Exported functions with examples: 33%
Documented parameters: 100%
Return-value docs: 67%
Help pages citing references: 67%

Also includes 3 demo scripts (run with demo())

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on56 r2u5 autocran133 c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.3.1

Imports (2)

freqdom fda

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Lukasz Kidzinski

Author, Maintainer since 0.2.1 (2016)

Neda Jouzdani

Author

Piotr Kokoszka

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-06-13
issues were not corrected despite reminders
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.4
record
2017-09-03 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.2.1
record
2016-11-26
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-11-26
Total releases: 2 / 10 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.3.1

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pcdpca")

Format

Kidzinski, L., Jouzdani, N., & Kokoszka, P. (n.d.). pcdpca: Dynamic Principal Components for Periodically Correlated Functional Time Series (Version 0.4) [Computer software]. Retrieved October 22, 2026, from https://CRAN.R-project.org/package=pcdpca

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pcdpca version 0.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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