loglike: Calculate the log likelihood for each observation given a set...

In timcdlucas/agouti: Base classes and simple models for disaggregation regression models. Potential name agouti (aggregate outputs ish)

Calculate the log likelihood for each observation given a set of parameters.

Description

Calculate the log likelihood for each observation given a set of parameters.

Usage

loglike(beta, x, y, ID, inner, outer, likelihood_function, weights)

Arguments

beta	The parameter vector
x	covariate matrix
y	observation vector.
ID	The column to use as the group ID column. Unquoted value.
inner	A character defining the inner link function.
outer	A character defining the outer link function.
likelihood_function	The likelihood (error) function given as a function such as dnorm.
weights	Which column to use as within group weights such as population or time.

timcdlucas/agouti documentation built on Feb. 8, 2024, 6:12 p.m.