distance

This function <code>distance</code> computes the Minkowski distance of exponent p,
related to a tscomparison object, produced with <code>in_sample</code>, <code>in_disaggr</code> or
<code>in_revisions</code>

The twoStepsBenchmark() and threeRuleSmooth() functions allow you to
disaggregate a low-frequency time series with higher frequency time series,
using the French National Accounts methodology. The aggregated sum of the
resulting time series is strictly equal to the low-frequency time series within the
benchmarking window. Typically, the low-frequency time series is an annual one,
unknown for the last year, and the high frequency one is either quarterly or
monthly. See "Methodology of quarterly national accounts", Insee Méthodes
N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).

Pauline Meinzel

disaggR

Two-Steps Benchmarks for Time Series Disaggregation

Arnaud Feldmann

Thomas Laurent

Franck Arnaud

Institut national de la statistique et des études économiques 

distance function

<dl><dt>x</dt>
<dd>an object of class <code>tscomparison</code></dd>
<dt>p</dt>
<dd>an integer greater than 1L, or Inf.</dd></dl>

Arguments

Distance computation for disaggregations — distance

<dl>

<dt>x</dt>
<dd>an object of class <code>tscomparison</code></dd>


<dt>p</dt>
<dd>an integer greater than 1L, or Inf.</dd>

</dl>

distance: Distance computation for disaggregations

Description

Usage

Value

Arguments

Details

See Also

Examples