dot-get_plot_df: Returns Data Frame Ready for Plotting with Confidence...

In bsynth: Bayesian Synthetic Control

Returns Data Frame Ready for Plotting with Confidence Intervals

Description

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.

Usage

.get_plot_df(y_synth_draws, pre_data, post_data, time, outcome, ci = 0.75)

Arguments

y_synth_draws	A data frame containing draws from the Stan fit object.
pre_data	A data frame with data before the intervention.
post_data	A data frame with data after the intervention.
time	The name of the time period variable (as a string).
outcome	The name of the outcome variable (as a string).
ci	The width of the credible confidence interval (default: 0.75).

Value

A data frame containing:

• time: The time period.

• outcome: The observed outcome.

• y_synth: The mean synthetic outcome.

• LB: The lower bound of the confidence interval for the synthetic outcome.

• UB: The upper bound of the confidence interval for the synthetic outcome.

• tau: The difference between the observed and synthetic outcomes.

• tau_LB: The lower bound of the confidence interval for tau.

• tau_UB: The upper bound of the confidence interval for tau.

bsynth documentation built on June 25, 2024, 5:08 p.m.