model.list

The function <code>model.list</code> returns the arguments submitted to the function
used to generate the object of class <code>"twoStepsBenchmark"</code>,
<code>"threeRuleSmooth"</code> or <code>"praislm"</code>.

internal

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 

model.list function

<dl><dt>object</dt>
<dd>an object of class <code>"twoStepsBenchmark"</code>, <code>"threeRuleSmooth"</code>
or <code>"praislm"</code>.</dd></dl>

Arguments

Extracting all the arguments submitted to generate an object — model.list

<dl>

<dt>object</dt>
<dd>an object of class <code>"twoStepsBenchmark"</code>, <code>"threeRuleSmooth"</code>
or <code>"praislm"</code>.</dd>

</dl>

model.list: Extracting all the arguments submitted to generate an object

Description

Usage

Value

Arguments

Details

Examples