log_likelihood: Calculate the negative log-likelihood for a beta binomial...

In WLenhard/cNORM: Continuous Norming

Calculate the negative log-likelihood for a beta binomial regression model

Description

This function computes the negative log-likelihood for a beta binomial regression model where both the mean and standard deviation are modeled as functions of predictors.

Usage

log_likelihood(params, X, Z, y, weights)

Arguments

params	A numeric vector containing all model parameters. The first n_beta elements are coefficients for the mean model, and the remaining elements are coefficients for the log-standard deviation model.
X	A matrix of predictors for the mean model.
Z	A matrix of predictors for the log-standard deviation model.
y	A numeric vector of response values.
weights	A numeric vector of weights for each observation.

Value

The negative log-likelihood of the model.

WLenhard/cNORM documentation built on Nov. 30, 2024, 4:45 p.m.