deviance.blm: Deviance of Bayesian Linear Model

In manschmi/blmr: Bayesian Linear Regression

Description

deviance.blm returns deviance for a bayesian linear model.

Usage

## S3 method for class 'blm'
deviance(object, ...)

Arguments

object	a blm object.
...	other arguments (currently ignored).

Details

Deviance is the sum of squares of the residuals, extracted from the maxium a posterior estimate of the blm object.

Value

Deviance of the blm object.

Examples

  x <- rnorm(10)
  b <- 1.3
  w0 <- 0.2 ; w1 <- 3
  y <- rnorm(10, mean = w0 + w1 * x, sd = sqrt(1/b))
  model <- blm(y ~ x, prior = NULL, beta = b, data = data.frame(x=x, y=y))
  
  deviance(model)
  

manschmi/blmr documentation built on May 21, 2019, 11:25 a.m.