Negative 2 log likelihood
Calculate the -2 * log likelihood of a dataset given a specified model.
loglikelihood(b, dataset)
b |
intercept and coefficients of a generalized linear model. |
dataset |
a test dataset used to derive the likelihood. |
the function returns the -2 * log likelihood.
## 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)
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