Package: DisaggregateTS 3.0.1

Kaveh Salehzadeh Nobari

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.

Authors:Kaveh Salehzadeh Nobari [aut, cre], Luke Mosley [aut]

DisaggregateTS_3.0.1.tar.gz
DisaggregateTS_3.0.1.tar.gz(r-4.6-any)DisaggregateTS_3.0.1.tar.gz(r-4.5-any)
DisaggregateTS_3.0.1.tgz(r-4.5-emscripten)
DisaggregateTS.pdf |DisaggregateTS.html✨
DisaggregateTS/json (API)

# Install 'DisaggregateTS' in R:
install.packages('DisaggregateTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Data - GHG Emissions and Financial Data for IBM

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 8 scripts 728 downloads 3 exports 7 dependencies

Last updated from:2a7cb2879c. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK199
linux-release-x86_64OK137
wasm-releaseOK105

Exports:disaggregatesimulDiagnosisTempDisaggDGP

Dependencies:larslatticeMatrixrbibutilsRdpackwithrzoo

Temporal Disaggregation of IBM's GHG Emissions

Rendered fromHigh_Dimensional_Temporal_Disaggregation.Rmdusingknitr::rmarkdownon Apr 04 2026.

Last update: 2024-10-31
Started: 2024-10-29