The R Journal: article published in 2013, volume 5:2

Temporal Disaggregation of Time Series
Christoph Sax and Peter Steiner , The R Journal (2013) 5:2, pages 80-87.

Abstract 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.

Received: 2013-03-01; online 2013-08-26
CRAN packages: tempdisagg
CRAN Task Views implied by cited CRAN packages: TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2013-028,
  author = {Christoph Sax and Peter Steiner},
  title = {{Temporal Disaggregation of Time Series}},
  year = {2013},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2013-028},
  url = {https://doi.org/10.32614/RJ-2013-028},
  pages = {80--87},
  volume = {5},
  number = {2}
}