Temporal disaggregation methods are used to disaggregate or interpolate a 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.
A good way to start is the introductory vignette:
vignette("intro", "tempdisagg")
Our article on temporal disaggregation of time series (tools:::Rd_expr_doi("10.32614/RJ-2013-028")) in the R-Journal describes the package and the theory of temporal disaggregation in more detail.
Christoph Sax christoph.sax@gmail.com, Peter Steiner
td() for more information on usage.