Statistics, Department of
The R Journal
Date of this Version
12-2013
Document Type
Article
Citation
The R Journal (December 2013) 5(2); Editor: Hadley Wickham
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.
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2013, The R Foundation. Open access material. License: CC BY 3.0 Unported