brpl

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

brpl function

<dl><dt>data</dt>
<dd>Input data frame (tibbles and other data.frame variants are automatically converted to data.frame)</dd>
<dt>var1</dt>
<dd>Name of first variable</dd>
<dt>var2</dt>
<dd>Name of second variable</dd>
<dt>tau</dt>
<dd>Quantile level (default: 0.5)</dd>
<dt>nalpha</dt>
<dd>Number of alpha values (default: 100)</dd></dl>

Arguments

Calculate Bivariate Quantiles — brpl

<dl>

<dt>data</dt>
<dd>Input data frame (tibbles and other data.frame variants are automatically converted to data.frame)</dd>


<dt>var1</dt>
<dd>Name of first variable</dd>


<dt>var2</dt>
<dd>Name of second variable</dd>


<dt>tau</dt>
<dd>Quantile level (default: 0.5)</dd>


<dt>nalpha</dt>
<dd>Number of alpha values (default: 100)</dd>

</dl>

brpl: Calculate Bivariate Quantiles

Description

Usage

Value

Arguments

Examples