as.ppc: As Posterior Predictive Check
In LaplacesDemon: Complete Environment for Bayesian Inference

Description Usage Arguments Details Value Author(s) See Also

This function converts an object of class demonoid.val to an object of class demonoid.ppc.

1	as.ppc(x, set=3)

`x`	This is an object of class `demonoid.val`.
`set`	This is an integer that indicates which list component is to be used. When `set=1`, the modeled data set is used. When `set=2`, the validation data set is used. When `set=3`, both data sets are used.

After using the Validate function for holdout validation, it is often suggested to perform posterior predictive checks. The as.ppc function converts the output object of Validate, which is an object of class demonoid.val, to an object of class demonoid.ppc. The returned object is the same as if it were created with the predict.demonoid function, rather than the Validate function.

After this conversion, the user may use posterior predictive checks, as usual, with the summary.demonoid.ppc function.

The returned object is an object of class demonoid.ppc.

Statisticat, LLC. software@bayesian-inference.com

predict.demonoid, summary.demonoid.ppc, and Validate.

LaplacesDemon documentation built on July 9, 2021, 5:07 p.m.