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.

TSdisaggregation: High-Dimensional Temporal Disaggregation

First - Generates (potentially high-dimensional) high-frequency and low-frequency series for simulation studies in temporal disaggregation; Second - a toolkit utilizing temporal disaggregation and benchmarking techniques with a low-dimensional matrix of indicator series previously proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third - novel techniques proposed by Mosley, Gibberd and Eckley (2021) <doi:10.48550/arXiv.2108.05783> for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.

Version: 2.0.0
Imports: Rdpack, zoo, lars, Matrix, withr
Published: 2022-05-18
DOI: 10.32614/CRAN.package.TSdisaggregation
Author: Luke Mosley [aut, cre], Kaveh S. Nobari ORCID iD [aut]
Maintainer: Luke Mosley <l.mosley at lancaster.ac.uk>
License: GPL (≥ 3)
NeedsCompilation: no
In views: TimeSeries
CRAN checks: TSdisaggregation results

Documentation:

Reference manual: TSdisaggregation.pdf

Downloads:

Package source: TSdisaggregation_2.0.0.tar.gz
Windows binaries: r-devel: TSdisaggregation_2.0.0.zip, r-release: TSdisaggregation_2.0.0.zip, r-oldrel: TSdisaggregation_2.0.0.zip
macOS binaries: r-release (arm64): TSdisaggregation_2.0.0.tgz, r-oldrel (arm64): TSdisaggregation_2.0.0.tgz, r-release (x86_64): TSdisaggregation_2.0.0.tgz, r-oldrel (x86_64): TSdisaggregation_2.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TSdisaggregation 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.