.get_plot_df

This function processes data frames containing synthetic and observed outcomes,
calculates confidence intervals for the synthetic outcomes, and returns a
combined data frame suitable for plotting the results.

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 

.get_plot_df function

<dl><dt>y_synth_draws</dt>
<dd>A data frame containing draws from the Stan fit object.</dd>
<dt>pre_data</dt>
<dd>A data frame with data before the intervention.</dd>
<dt>post_data</dt>
<dd>A data frame with data after the intervention.</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>ci</dt>
<dd>The width of the credible confidence interval (default: 0.75).</dd></dl>

Arguments

Returns Data Frame Ready for Plotting with Confidence Intervals — .get_plot_df

<dl>

<dt>y_synth_draws</dt>
<dd>A data frame containing draws from the Stan fit object.</dd>


<dt>pre_data</dt>
<dd>A data frame with data before the intervention.</dd>


<dt>post_data</dt>
<dd>A data frame with data after the intervention.</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>ci</dt>
<dd>The width of the credible confidence interval (default: 0.75).</dd>

</dl>

.get_plot_df: Returns Data Frame Ready for Plotting with Confidence Intervals

Description

Usage

Value

Arguments