tempdisagg: Methods for Temporal Disaggregation and Interpolation of TimeSeries

Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a 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 R package tempdisagg is a collection of several methods for temporal disaggregation.

Version: 0.23
Published: 2014-01-11
Author: Christoph Sax, Peter Steiner
Maintainer: Christoph Sax <christoph.sax at gmail.com>
BugReports: https://github.com/christophsax/tempdisagg
License: GPL-3
URL: http://journal.r-project.org/archive/2013-2/sax-steiner.pdf
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: tempdisagg results


Reference manual: tempdisagg.pdf
Package source: tempdisagg_0.23.tar.gz
Windows binaries: r-devel: tempdisagg_0.23.zip, r-release: tempdisagg_0.23.zip, r-oldrel: tempdisagg_0.23.zip
OS X Snow Leopard binaries: r-release: tempdisagg_0.23.tgz, r-oldrel: tempdisagg_0.23.tgz
OS X Mavericks binaries: r-release: tempdisagg_0.23.tgz
Old sources: tempdisagg archive