Plot posterior predictive checks

Compares data simulated from posterior parameter draws (see posterior_predictive()) with the observed data, one marginal histogram per data dimension with the observation marked. If the observation falls in the tails of the predictive distribution, the model (or the fit) does not reproduce the data it is conditioned on.

Usage

plot_posterior_predictive(pred, x_obs, labels = NULL, bins = 30L)

Arguments

pred

A matrix of predictive draws from posterior_predictive().

x_obs

The observed data vector the posterior was conditioned on.

labels

Optional labels for the data dimensions. Defaults to colnames(pred) (set automatically when the simulator names its output columns) or x[1], x[2], .... Labels that parse as R syntax render as their plotmath symbol.

bins

Number of histogram bins.

Value

A ggplot object (also drawn as a side effect), invisibly.