Computes the binomial log-likelihood given a response vector and corresponding GLM linear predictor values.
LL_binomial(y, x, mod)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.
numeric vector (or factor) recording a binary dependent variable.
data.frame (or matrix) containing predictor values.
glm object containing and estimated logistic regression model.
Edoardo Costantini, 2022
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.
The log-likelihood equation is based on Agresti (2002, p. 192).
Agresti, A. (2012). Categorical data analysis (Vol. 792). John Wiley & Sons.