apricom (version 1.0.0)

loglikelihood: Negative 2 log likelihood

Description

Calculate the -2 * log likelihood of a dataset given a specified model.

Usage

loglikelihood(b, dataset)

Arguments

b

intercept and coefficients of a generalized linear model.

dataset

a test dataset used to derive the likelihood.

Value

the function returns the -2 * log likelihood.

Examples

## Using the mtcars dataset
## Resample, fit an ordinary least squares model and calculate likelihood
data(mtcars)
mtc.data <- cbind(1,datashape(mtcars, y = 8, x = c(1, 6, 9)))
head(mtc.data)
mtc.boot <- randboot(mtc.data, replace = TRUE)
boot.betas <- ml.rgr(mtc.boot)
loglikelihood(b = boot.betas, dataset = mtc.data)