<p>Weekly data beginning 11 January 2014, ending 4 January 2020.</p>

datasets

Perform seasonal adjustment and forecasting of weekly data.
The package provides a user-friendly interface for computing seasonally
adjusted estimates and forecasts of weekly time series and includes
functions for the construction of country-specific prior adjustment
variables, as well as diagnostic tools to assess the quality of the
adjustments. The methodology is described in more detail in
Ginker (2024) <doi:10.13140/RG.2.2.12221.44000>.

Tim Ginker

boiwsa

Seasonal Adjustment of Weekly Data

Jon Lachman

lbm function


<div class="section" id="data-frame">
<h3>Data.Frame</h3><p></p><p>
</p><p>A data frame with 313 rows and 2 columns:</p><dl>
<dt>date</dt>
<dd><p>date in a date format</p></dd><p></p><p><dt>IES_IN_W_ADJ</dt>
<dd><p>number of initial registrations</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

Weekly number of initial registrations in Israeli Employment Services (adjusted for strikes) — lbm


<div class='section' id='data-frame'>
<h3>Data.Frame</h3>


<p>A data frame with 313 rows and 2 columns:</p><dl>
<dt>date</dt>
<dd><p>date in a date format</p></dd>

<dt>IES_IN_W_ADJ</dt>
<dd><p>number of initial registrations</p></dd>


</dl>

</div>


lbm: Weekly number of initial registrations in Israeli Employment Services (adjusted for strikes)

Description

Usage

Arguments

Format

Data.Frame