hess: Deriving the second partial derivatives of the log likelihood...

Description Usage Arguments Value Author(s)

View source: R/hess.R

Description

hess() derives the second partial derivatives of the log likelihood function of the log-binomial model.

Usage

1
hess(theta, y, x)

Arguments

theta

A numeric vector containing the initial values of the model parameters.

y

A numeric vector containing the dependent variable of the model.

x

The model matrix.

Value

A numeric matrix containing the second partial derivatives of the log likelihood function of the log-binomial model (Hessian matrix).

Author(s)

Adam Bekhit, Jakob Schöpe


BSW documentation built on March 22, 2021, 5:07 p.m.

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