Temporal disaggregation methods are used to disaggregate or 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. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette.
To install or update from from CRAN, run:
A good way to start is to run the interactive demo:
or read the help page of the main function (
?td). Our article on temporal disaggregation of time series in the R-Journal describes the package and the theory of temporal disaggregation in more detail.
Please report bugs on Github or send an e-mail, thank you!