.makeWide

This internal helper function transforms data from a long format, where each
row represents an observation for a specific unit and time, to a wide format,
where each row represents a time period and each column represents a unit's outcome.
It specifically focuses on separating treated and untreated units.

Implements the Bayesian Synthetic Control method for causal inference
in comparative case studies. This package provides tools for estimating
treatment effects in settings with a single treated unit and multiple control
units, allowing for uncertainty quantification and flexible modeling of
time-varying effects. The methodology is based on the paper by Vives and
Martinez (2022) <doi:10.48550/arXiv.2206.01779>.

Ignacio Martinez

bsynth

Bayesian Synthetic Control

Jaume 

.makeWide function

<dl><dt>data</dt>
<dd>A data frame containing the input data.</dd>
<dt>id</dt>
<dd>The name of the variable in <code>data</code> that identifies units (as a string).</dd>
<dt>time</dt>
<dd>The name of the time period variable (as a string).</dd>
<dt>outcome</dt>
<dd>The name of the outcome variable (as a string).</dd>
<dt>treatment</dt>
<dd>The name of the variable in <code>data</code> that indicates treatment status (as a string).</dd></dl>

Arguments

Convert Data to Wide Format — .makeWide

<dl>

<dt>data</dt>
<dd>A data frame containing the input data.</dd>


<dt>id</dt>
<dd>The name of the variable in <code>data</code> that identifies units (as a string).</dd>


<dt>time</dt>
<dd>The name of the time period variable (as a string).</dd>


<dt>outcome</dt>
<dd>The name of the outcome variable (as a string).</dd>


<dt>treatment</dt>
<dd>The name of the variable in <code>data</code> that indicates treatment status (as a string).</dd>

</dl>

.makeWide: Convert Data to Wide Format

Description

Usage

Value

Arguments