covar.blm: Covariance of coefficients

In manschmi/blmr: Bayesian Linear Regression

Description

Covariance of coefficients from the posterior distribution of a bayesian model.

Usage

covar.blm(object, ...)

Arguments

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

Value

Covariance matrix for the distribution of the coefficients of a blm model.

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))

covar.blm(model)

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