Temporal disaggregation methods are used to disaggregate low frequency time series to higher frequency series, where either the sum, the average, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. The package tempdisagg is a collection of several methods for temporal disaggregation.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Sax & Steiner, "The R Journal: Temporal Disaggregation of Time Series", The R Journal, 2013
BibTeX citation
@article{RJ-2013-028,
author = {Sax, Christoph and Steiner, Peter},
title = {The R Journal: Temporal Disaggregation of Time Series},
journal = {The R Journal},
year = {2013},
note = {https://doi.org/10.32614/RJ-2013-028},
doi = {10.32614/RJ-2013-028},
volume = {5},
issue = {2},
issn = {2073-4859},
pages = {80-87}
}