LL_gaussian | R Documentation |
Computes the gaussian (normal) log-likelihood of a vector of observed values given a trained linear regression model.
LL_gaussian(y, x, mod)
y |
numeric vector recording a continuous dependent variable. |
x |
data.frame (or matrix) containing predictor values. |
mod |
|
If x
and y
are equal to the data on which mod
has been trained, this function returns the same result as the default logLink
function. If x
and y
are new, the function returns the log-likelihood of the new data under the trained model.
A list containing:
ll
an atomic vector of length 1 containing the log-likelihood value.
sc
an atomic vector containing the systematic component for the input x
and mod
.
Edoardo Costantini, 2022
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.