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DisaggregateTS: High-Dimensional Temporal Disaggregation

Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.

Version: 3.0.1
Depends: R (≥ 3.5.0)
Imports: Rdpack, stats, Matrix, lars, zoo, withr
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, readxl, corrplot, ggplot2
Published: 2024-10-31
DOI: 10.32614/CRAN.package.DisaggregateTS
Author: Kaveh Salehzadeh Nobari [aut, cre], Luke Mosley [aut]
Maintainer: Kaveh Salehzadeh Nobari <k.salehzadeh-nobari at imperial.ac.uk>
License: GPL-3
NeedsCompilation: no
CRAN checks: DisaggregateTS results

Documentation:

Reference manual: DisaggregateTS.pdf
Vignettes: Temporal Disaggregation of IBM's GHG Emissions (source, R code)

Downloads:

Package source: DisaggregateTS_3.0.1.tar.gz
Windows binaries: r-devel: DisaggregateTS_3.0.1.zip, r-release: DisaggregateTS_3.0.1.zip, r-oldrel: DisaggregateTS_3.0.1.zip
macOS binaries: r-release (arm64): DisaggregateTS_3.0.1.tgz, r-oldrel (arm64): DisaggregateTS_3.0.1.tgz, r-release (x86_64): DisaggregateTS_3.0.1.tgz, r-oldrel (x86_64): DisaggregateTS_3.0.1.tgz
Old sources: DisaggregateTS archive

Linking:

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