Package: disaggR
Type: Package
Title: Two-Steps Benchmarks for Time Series Disaggregation
Version: 0.1.8
Date: 2020-10-09
Author: Arnaud Feldmann
Maintainer: Arnaud Feldmann <arnaud.feldmann@gmail.com>
Description: The twoStepsBenchmark() function and its wrappers allow you to disaggregate a low frequency time serie with time series of higher frequency, using the French National Accounts methodology.
	The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window.
	Typically, the low frequency serie is an annual one, unknown for the last year, and the high frequency is either quarterly or mensual.
	See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Imports: ggplot2, Rcpp
LinkingTo: Rcpp
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), vdiffr
Depends: R (>= 2.10)
BugReports: https://github.com/arnaud-feldmann/disaggR/issues
LazyData: yes
NeedsCompilation: yes
Packaged: 2020-10-10 14:52:38 UTC; arnok
Repository: CRAN
Date/Publication: 2020-10-10 21:20:09 UTC
