Posterior Predictive Intervals Plot

Creates a plot displaying posterior predictive intervals for the observed data, providing a visual assessment of how well the model captures data variation over time. The plot shows the credible intervals (uncertainty) of the posterior predictive distribution at each time point.

Usage

biPOD_ppc_intervals(x, x_fit, n = 500)

Arguments

x

A bipod object containing a 'counts' field with the observed data. This data typically represents counts or time series values.

x_fit

A fitted model object containing posterior draws of the replicated data (yrep). This object should include posterior samples of the model predictions.

n

An integer specifying the number of posterior predictive draws to use in the plot. (default is 500). The higher the number, the more accurate the representation of the predictive intervals.

Value

A plot displaying the posterior predictive intervals generated using bayesplot::ppc_intervals. The plot shows how well the model accounts for the observed data.