post_check: Posterior Predictive Checks for abdiststan models

In abnormally-distributed/abdisttools: Random Functions for Personal Use

Description

Calculate the VIF for a least squares or generalized linear model.

Usage

post_check(out, y.obs, reps = 100, pred.name = "ySim",
  y.obs.color = "white")

Arguments

out	the model fit
y.obs	the observed outcome variable.
reps	Defaults to 100.
pred.name	the name of the simulations
y.obs.color	the color of the density curve for the observed data (suggest black or white to contrast with the assortment of colors used for the simulations)

Examples

post_check()

abnormally-distributed/abdisttools documentation built on May 5, 2019, 7:07 a.m.