pov_line_example

Dataset containing measurements for leisure time (in minutes) and income based on expenditure share

datasets

Provides tools for identifying subgroups within populations based on individual response patterns to specific interventions or treatments. Designed to support researchers and clinicians in exploring heterogeneous treatment effects and developing personalized therapeutic strategies. Offers functionality for analyzing and visualizing the interplay between two variables, thereby enhancing the interpretation of social sustainability metrics. The package focuses on bivariate discriminant analysis and aims to clarify relationships between indicator variables.

Franziska Dorn

BRPL

Methods for Bivariate Poverty Line Calculations

René-Marcel Kruse

Thomas Kneib

pov_line_example function

a <code>data.frame</code> with 67335 rows and 3 columns:<dl>
<dt>leisure</dt>
<dd>Leisure time in minutes</dd><dt>inc_expenses</dt>
<dd>Income based on expenditure share of households</dd><dt>weight</dt>
<dd>Assumed population sampling weights</dd>
</dl>

Format

Example dataset — pov_line_example

a <code>data.frame</code> with 67335 rows and 3 columns:<dl>
<dt>leisure</dt>
<dd>Leisure time in minutes</dd>

<dt>inc_expenses</dt>
<dd>Income based on expenditure share of households</dd>

<dt>weight</dt>
<dd>Assumed population sampling weights</dd>


</dl>

pov_line_example: Example dataset

Description

Usage

Arguments

Format