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:

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