series_metadata

Metadata for all economic series included in the package.

datasets

Extract trends from monthly and quarterly economic time series.
Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows
and extract_trends() for direct time series analysis. Includes key econometric
filters and modern parameter experimentation tools.

Vinicius Oike

trendseries

Extract Trends from Time Series

series_metadata function

A tibble with metadata:<dl>
<dt>series_name</dt>
<dd>Short series identifier</dd><dt>description</dt>
<dd>Full series description</dd><dt>value_column</dt>
<dd>Main value column(s) in the dataset</dd><dt>frequency</dt>
<dd>Data frequency (D = daily, M = monthly, Q = quarterly)</dd><dt>first_obs</dt>
<dd>First observation date</dd><dt>last_obs</dt>
<dd>Last observation date</dd><dt>n_obs</dt>
<dd>Number of observations</dd><dt>source</dt>
<dd>Data source</dd>
</dl>

Format

Series Metadata — series_metadata

A tibble with metadata:<dl>
<dt>series_name</dt>
<dd>Short series identifier</dd>

<dt>description</dt>
<dd>Full series description</dd>

<dt>value_column</dt>
<dd>Main value column(s) in the dataset</dd>

<dt>frequency</dt>
<dd>Data frequency (D = daily, M = monthly, Q = quarterly)</dd>

<dt>first_obs</dt>
<dd>First observation date</dd>

<dt>last_obs</dt>
<dd>Last observation date</dd>

<dt>n_obs</dt>
<dd>Number of observations</dd>

<dt>source</dt>
<dd>Data source</dd>


</dl>

series_metadata: Series Metadata

Description

Usage

Arguments

Format