residuals.blm: Residuals of Bayesian Linear Model
In manschmi/blmr: Bayesian Linear Regression

Description Usage Arguments Details Value Examples

residuals.blm returns residuals for a bayesian linear model.

1 2	## S3 method for class 'blm' residuals(object, var = FALSE, ...)

`object`	a `blm` object.
`var`	Report also variance for the fitted values.
`...`	other arguments (currently ignored).

Residuals are extracted from the maxium a posterior estimate of the blm object. If var = TRUE, a list containing means and variances of the fitted values.

Residuals of the blm object.

  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))
  
  residuals(model)
  resid(model)