pp_int_plot: Posterior Predictive Intervals
In abnormally-distributed/abdisttools: Random Functions for Personal Use

Means and credible intervals of ySim with y overlaid. Modification of ppc_intervals in the bayesplot package for use with the abdiststan package.

1 2	pp_int_plot(y, ySim, x = NULL, ..., cred_inner = 0.05, cred_outer = 0.95, size = 1, fatten = 1, point.size = 2.4)

`y`	the vector of observed y values
`ySim`	a matrix or data frame of the posterior predictive distribution
`x`	A numeric vector the same length as `y` to use as the x-axis variable. For example, `x` could be a predictor variable from a regression model, a time variable for time-series models, etc. If `x` is missing or NULL, then `1:length(y)` is used for the x-axis.
`cred_inner`	inner credible interval. Defaults to .05 so that it's not visible.
`cred_outer`	size of posterior interval. Defaults to .95.
`point.size`	size of points representing y. Defaults to 2.4
`alpha, size, fatten`	Arguments passed to geoms. For ribbon plots `alpha` and `size` are passed to `geom_ribbon`. For interval plots `size` and `fatten` are passed to `geom_pointrange`.