DIC: Deviance Information Criterion (DIC)

In edina: Bayesian Estimation of an Exploratory Deterministic Input, Noisy and Gate Model

Description

Calculate DIC for EDINA models.

Usage

DIC(object, ...)

## S3 method for class 'edina'
DIC(object, ...)

Arguments

object	An edina object
...	Not used.

Value

The DIC value of the given model.

DIC Computation Procedure

DIC = -2≤ft({\log p≤ft( {\mathbf{y}| \mathbf{\hat{θ}} } \right) - 2≤ft( {\log p≤ft( {\mathbf{y}| \mathbf{\hat{θ}} } \right) - \frac{1}{N}∑\limits_{n = 1}^N {\log p≤ft( {\mathbf{y}|{\mathbf{θ} _s}} \right)} } \right)} \right)

See Also

PPP.edina(), BIC.edina()

edina documentation built on March 26, 2020, 9:30 p.m.