The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

partsm: Periodic Autoregressive Time Series Models

Basic functions to fit and predict periodic autoregressive time series models. These models are discussed in the book P.H. Franses (1996) "Periodicity and Stochastic Trends in Economic Time Series", Oxford University Press. Data set analyzed in that book is also provided. NOTE: the package was orphaned during several years. It is now only maintained, but no major enhancements are expected, and the maintainer cannot provide any support.

Version: 1.1-3
Depends: R (≥ 2.14.0)
Imports: methods
Published: 2020-11-25
DOI: 10.32614/CRAN.package.partsm
Author: Javier Lopez-de-Lacalle [aut, cph], Matthieu Stigler ORCID iD [cre]
Maintainer: Matthieu Stigler <Matthieu.Stigler at gmail.com>
License: GPL-2
URL: https://github.com/MatthieuStigler/partsm
NeedsCompilation: no
Materials: ChangeLog
In views: TimeSeries
CRAN checks: partsm results

Documentation:

Reference manual: partsm.pdf
Vignettes: partsm vignette

Downloads:

Package source: partsm_1.1-3.tar.gz
Windows binaries: r-devel: partsm_1.1-3.zip, r-release: partsm_1.1-3.zip, r-oldrel: partsm_1.1-3.zip
macOS binaries: r-release (arm64): partsm_1.1-3.tgz, r-oldrel (arm64): partsm_1.1-3.tgz, r-release (x86_64): partsm_1.1-3.tgz, r-oldrel (x86_64): partsm_1.1-3.tgz
Old sources: partsm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=partsm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.